Repository: ICB-DCM/pyABC

Issue:
Compute ESS
Implement convenience functions to (1) compute, and (2) plot the effective sample size according to some formula, i.e. the sample size when accounting for importance sampling.

Discussion:
codecov-io: # [Codecov](https://codecov.io/gh/ICB-DCM/pyABC/pull/103?src=pr&el=h1) Report
> Merging [#103](https://codecov.io/gh/ICB-DCM/pyABC/pull/103?src=pr&el=desc) into [develop](https://codecov.io/gh/ICB-DCM/pyABC/commit/968444122e9af953b2801e8a238594c7c5984309?src=pr&el=desc) will **decrease** coverage by `0.43%`.
> The diff coverage is `31.42%`.

[![Impacted file tree graph](https://codecov.io/gh/ICB-DCM/pyABC/pull/103/graphs/tree.svg?width=650&token=GcyGdqSygr&height=150&src=pr)](https://codecov.io/gh/ICB-DCM/pyABC/pull/103?src=pr&el=tree)

```diff
@@             Coverage Diff             @@
##           develop     #103      +/-   ##
===========================================
- Coverage    78.02%   77.59%   -0.44%     
===========================================
  Files           74       75       +1     
  Lines         3477     3512      +35     
===========================================
+ Hits          2713     2725      +12     
- Misses         764      787      +23
```


| [Impacted Files](https://codecov.io/gh/ICB-DCM/pyABC/pull/103?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pyabc/visualization/\_\_init\_\_.py](https://codecov.io/gh/ICB-DCM/pyABC/pull/103/diff?src=pr&el=tree#diff-cHlhYmMvdmlzdWFsaXphdGlvbi9fX2luaXRfXy5weQ==) | `100% <100%> (ø)` | :arrow_up: |
| [pyabc/visualization/effective\_sample\_size.py](https://codecov.io/gh/ICB-DCM/pyABC/pull/103/diff?src=pr&el=tree#diff-cHlhYmMvdmlzdWFsaXphdGlvbi9lZmZlY3RpdmVfc2FtcGxlX3NpemUucHk=) | `25% <25%> (ø)` | |
| [pyabc/weighted\_statistics.py](https://codecov.io/gh/ICB-DCM/pyABC/pull/103/diff?src=pr&el=tree#diff-cHlhYmMvd2VpZ2h0ZWRfc3RhdGlzdGljcy5weQ==) | `81.81% <50%> (-7.08%)` | :arrow_down: |
| [pyabc/sampler/redis\_eps/cli.py](https://codecov.io/gh/ICB-DCM/pyABC/pull/103/diff?src=pr&el=tree#diff-cHlhYmMvc2FtcGxlci9yZWRpc19lcHMvY2xpLnB5) | `80% <0%> (+0.74%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/ICB-DCM/pyABC/pull/103?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/ICB-DCM/pyABC/pull/103?src=pr&el=footer). Last update [9684441...9c5063a](https://codecov.io/gh/ICB-DCM/pyABC/pull/103?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).


Patch:
diff --git a/doc/api.rst b/doc/api.rst
index c6e4d43..867bac8 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -19,3 +19,4 @@ API reference
    api_sge
    api_external
    api_visualization
+   api_weightedstatistics
diff --git a/doc/api_weightedstatistics.rst b/doc/api_weightedstatistics.rst
new file mode 100644
index 0000000..86fae38
--- /dev/null
+++ b/doc/api_weightedstatistics.rst
@@ -0,0 +1,6 @@
+.. _api_weightedstatistics:
+
+.. automodule:: pyabc.weighted_statistics
+   :members:
+   :special-members: __init__, __call__
+   :show-inheritance:
diff --git a/doc/examples/adaptive_distances.ipynb b/doc/examples/adaptive_distances.ipynb
index 94b9a21..81958d0 100644
--- a/doc/examples/adaptive_distances.ipynb
+++ b/doc/examples/adaptive_distances.ipynb
@@ -48,7 +48,7 @@
     "\n",
     "\n",
     "# for debugging\n",
-    "df_logger = logging.getLogger('DistanceFunction')\n",
+    "df_logger = logging.getLogger('Distance')\n",
     "df_logger.setLevel(logging.DEBUG)\n",
     "\n",
     "# model definition\n",
@@ -92,17 +92,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:History:Start <ABCSMC(id=1, start_time=2019-01-27 13:40:31.787763, end_time=None)>\n",
-      "INFO:Epsilon:initial epsilon is 7.245486082738811\n",
-      "INFO:ABC:t:0 eps:7.245486082738811\n",
-      "INFO:ABC:t:1 eps:4.403782654796415\n",
-      "INFO:ABC:t:2 eps:2.8379695002239806\n",
-      "INFO:ABC:t:3 eps:1.8682241670390287\n",
-      "INFO:ABC:t:4 eps:1.3596079612099512\n",
-      "INFO:ABC:t:5 eps:0.9176031605470093\n",
-      "INFO:ABC:t:6 eps:0.6035193529434287\n",
-      "INFO:ABC:t:7 eps:0.3983582018261048\n",
-      "INFO:History:Done <ABCSMC(id=1, start_time=2019-01-27 13:40:31.787763, end_time=2019-01-27 13:42:24.101241)>\n"
+      "INFO:History:Start <ABCSMC(id=3, start_time=2019-05-01 16:05:34.676351, end_time=None)>\n",
+      "INFO:Epsilon:initial epsilon is 8.323532755675517\n",
+      "INFO:ABC:t:0 eps:8.323532755675517\n",
+      "INFO:ABC:t:1 eps:4.91440739009507\n",
+      "INFO:ABC:t:2 eps:3.4217303156404038\n",
+      "INFO:ABC:t:3 eps:2.370056613878034\n",
+      "INFO:ABC:t:4 eps:1.6268813652396334\n",
+      "INFO:ABC:t:5 eps:1.186727799009716\n",
+      "INFO:ABC:t:6 eps:0.8548463991669453\n",
+      "INFO:ABC:t:7 eps:0.5934272512057183\n",
+      "INFO:History:Done <ABCSMC(id=3, start_time=2019-05-01 16:05:34.676351, end_time=2019-05-01 16:07:50.875925)>\n"
      ]
     }
    ],
@@ -113,7 +113,7 @@
     "\n",
     "abc.new(db_path, observation)\n",
     "\n",
-    "history = abc.run(minimum_epsilon=.1, max_nr_populations=8)"
+    "history0 = abc.run(minimum_epsilon=.1, max_nr_populations=8)"
    ]
   },
   {
@@ -130,7 +130,17 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f71e41aecf8>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -145,14 +155,13 @@
     "# plotting\n",
     "\n",
     "fig, ax = pyplot.subplots()\n",
-    "for t in range(history.max_t + 1):\n",
-    "    df, w = history.get_distribution(m=0, t=t)\n",
+    "for t in range(history0.max_t + 1):\n",
+    "    df, w = history0.get_distribution(m=0, t=t)\n",
     "    pyabc.visualization.plot_kde_1d(df, w, xmin=0, xmax=10,\n",
     "                                   x='theta', ax=ax,\n",
     "                                   label=\"PDF t={}\".format(t))\n",
     "ax.axvline(theta_true, color='k', linestyle='dashed', label=\"True value\")\n",
-    "ax.legend()\n",
-    "pyplot.show()"
+    "ax.legend()"
    ]
   },
   {
@@ -173,26 +182,26 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:History:Start <ABCSMC(id=2, start_time=2019-01-27 13:42:25.462820, end_time=None)>\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.4719057648244256, 'ss2': 0.5280942351755742}\n",
-      "INFO:Epsilon:initial epsilon is 5.266784854572362\n",
-      "INFO:ABC:t:0 eps:5.266784854572362\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.5613394729502876, 'ss2': 0.43866052704971237}\n",
-      "INFO:ABC:t:1 eps:3.150287442087535\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.7166877974854655, 'ss2': 0.28331220251453443}\n",
-      "INFO:ABC:t:2 eps:1.8288546393177973\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.81015505493187, 'ss2': 0.18984494506813016}\n",
-      "INFO:ABC:t:3 eps:0.9681643384506715\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.8963783057724661, 'ss2': 0.10362169422753398}\n",
-      "INFO:ABC:t:4 eps:0.4953272375848706\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.9382358138374498, 'ss2': 0.06176418616255016}\n",
-      "INFO:ABC:t:5 eps:0.2621018591951997\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.9603927528465017, 'ss2': 0.03960724715349822}\n",
-      "INFO:ABC:t:6 eps:0.1579910979878786\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.9704382807139758, 'ss2': 0.02956171928602421}\n",
-      "INFO:ABC:t:7 eps:0.11073152752948967\n",
-      "DEBUG:DistanceFunction:update distance weights = {'ss1': 1.964677143715433, 'ss2': 0.03532285628456718}\n",
-      "INFO:History:Done <ABCSMC(id=2, start_time=2019-01-27 13:42:25.462820, end_time=2019-01-27 13:43:18.402024)>\n"
+      "INFO:History:Start <ABCSMC(id=4, start_time=2019-05-01 16:07:55.074538, end_time=None)>\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.5466414404249624, 'ss2': 0.4533585595750377}\n",
+      "INFO:Epsilon:initial epsilon is 6.043428511588377\n",
+      "INFO:ABC:t:0 eps:6.043428511588377\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.5570776915018665, 'ss2': 0.4429223084981334}\n",
+      "INFO:ABC:t:1 eps:4.338995159375159\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.6713705978285887, 'ss2': 0.32862940217141107}\n",
+      "INFO:ABC:t:2 eps:2.8044497748453505\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.7212145149951485, 'ss2': 0.2787854850048517}\n",
+      "INFO:ABC:t:3 eps:1.604274394835463\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.8360864969496702, 'ss2': 0.16391350305033006}\n",
+      "INFO:ABC:t:4 eps:1.034169141122295\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.8861028922004666, 'ss2': 0.1138971077995333}\n",
+      "INFO:ABC:t:5 eps:0.5907815126190052\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.9359517130547306, 'ss2': 0.0640482869452694}\n",
+      "INFO:ABC:t:6 eps:0.32917878896369823\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.958912672910412, 'ss2': 0.041087327089587976}\n",
+      "INFO:ABC:t:7 eps:0.19112613860332253\n",
+      "DEBUG:Distance:update distance weights = {'ss1': 1.963773404833426, 'ss2': 0.036226595166573825}\n",
+      "INFO:History:Done <ABCSMC(id=4, start_time=2019-05-01 16:07:55.074538, end_time=2019-05-01 16:09:01.403688)>\n"
      ]
     }
    ],
@@ -205,7 +214,7 @@
     "\n",
     "abc.new(db_path, observation)\n",
     "\n",
-    "history = abc.run(minimum_epsilon=.1, max_nr_populations=8)"
+    "history1 = abc.run(minimum_epsilon=.1, max_nr_populations=8)"
    ]
   },
   {
@@ -222,7 +231,17 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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X0+LFi1m8eDGzZ8/e67z7GyBuv/12Tj755P2/oBSRACGarS5Rn7KjEAVtKCq2xxcQQu5BiPalLdN9AyxcuJBt27YxduzYZtc91WQUk2i2uhZEljMLNNhAJD4ZwtDSghDJm/vaN5RvbHhW8/7q0iuLkgsOS6psW6f7tm2b66+/npdeeqnBFklbkwAhms3v96OA7gX9ycv4nlCmi3D8C5ahpQUh0l+6pPt++umnOeOMMygqKkr6nAeSBAjRbH6/H8OOkp/Xh+nn3st3/Trx9eLYKrGGllFMInnJftNvbemS7vuzzz5j7ty5PP3009TW1hIKhcjKyuKBBx5o9melggQI0Ww+nxcdDpGbXwjVUFYVJFLXgrBlFJPoGA5Euu+XX3458XrGjBksWLAgbYIDyE1qsR921tSgIhE8Vg4PznuW5/75ODYQ1VFMuQch2rG6rqfBgwczevRoxo4dy5133pn08ePHj+eNN95o1k3qdCYtCNFsvlovyo7girpZuGUlZd4IxghFREcxpQUh2oF0Sfe9uylTpjBlypT9OjZVpAUhmi0QCKCiEQy/QhuxpneXXlmE7SimNqQFIUQHIQFCNFsoEsYyTOyaMHZ8W7f+nQhrGwuTcCjUpvUTQrSOlAUIpVQvpdRHSqmVSqkVSqlfN1BGKaX+qJRao5RaqpQanqr6iNYRDoexNeRkdoKoxtagFBT0ziaibRxYhKUFIUSHkMp7EBHgeq31IqVUNrBQKfWB1nrlbmVOBwbEH8cBf4o/izRVN0muU2Zn2AF52QW43DYZOU5qtMahHEQiO9u4lkKI1pCyAKG13gJsib/eqZRaBfQEdg8QPwJe0LF57J8rpXKVUt3jx4o0tLO6GoDcjFiAuHr8HTgKPbgzHUQ0OLCIRm1s28YwpAdTiPbsgPwGK6X6AkcB8/fY1RPYuNv70vg2kabKNpUCkOPMBWB7eYDcrnUBQuFUsXWp5Ua1EO1fygOEUioL+Adwrda6pqny+zjH5UqpBUqpBWVlZa1bQdEsFdtijbsclYXKcvDK/55g2qsP4M60CKNwEls0SAKESGfplO677jOLi4s5++yzW35xrSil8yCUUg5iweFlrfU/GyiyCei12/ui+LZ6tNbTgekAI0aMaDqtokiZqniAzoi4sTMsSivWEtyQhTPDIoKBQ1aVE+3A7qk2LrroIqZNm8bUqVPrbd++fTsXXnghNTU1iZTfTeVimjNnDllZWYwcOXK/6pJuUjmKSQF/BlZprf+wj2JvA5fERzMdD1TL/Yf0VlNVCYBzJ4Ss2I+P6TBQSqGcDkwd2yYtCNFetHW673SWyhbEicBkYJlSqi483gL0BtBaTwP+A5wBrAF8wKUprI9oBbU7a8BwYtRE8bnBMMCMBwrlcmLZJiABQiTnoxnT2b5hXaues7BPf06ZcnlSZds63TfEJp6OGDECy7K4+eabOeecc5K/2BRrMkAopQxggtb6teacWGv9CdBohqv46KVfNOe8om35fH4c2RkoragJRLCcZmKf4XZg+WLBQrqYRDpLl3TfABs2bKBnz56sW7eOH/7whwwdOpRDDjkk6c9IpSYDhNbaVkrdCDQrQIiOx7+zhoht47Zi9xkqasL06dWfosPyADA9DkyfdDGJ5CX7Tb+1pUu6b4CePWMDN/v378+oUaP46quv2k+AiJutlPoN8Crgrduota5MSa1EWqrashltmGRYbgDKq4PcfeNDHHNmPwAsj4WlYy0KaUGI9u5ApPuuqqrC4/HgcrkoLy/n008/5cYbb2xx3VtLsgFiUvx59+4gDfRv3eqIdFa1ZRPatGIBQkHAhtxCT2K/I8uBibQgRPtV1/UUDoexLIvJkyczderUpI8fP348EyZM4K233uKJJ56gpKSk0fKrVq3iiiuuwDAMbNvm5ptvZtCgQS29jFaTVIDQWvdLdUVE+qvasjkWIHCjPQ50VZjfPnoz7iwH06dPx5HtTAQIaUGIdJYu6b5HjhzJsmXLki5/oCUVIOLzGa4CTo5vmgM8o7WWvwIHkaotm8By4IyYhB2xQLChdB0qnvLbmeNMdDFJC0KI9i/ZeRB/Ao4Gno4/jo5vEweRyi2b0IaBM2jg05DZyZkIDgDuHBcqPl5cWhBCtH/J3oM4Rmt95G7vP1RKLUlFhUT6qtlRBZ58nEGDnTpKbjdPvf3uLAe18QUipAUhRPuXbAsiqpRKjLtSSvUH9t1ZJzocrTXBYGwhIKe2qNoZqXeDGsCd6cCWFoQQHUayLYgbgI+UUuuITX7rg8x6PqhEgkHs+LxHNw62+iP06OpJTDYCcGda2NpGaQjJqnJCtHvJjmL6r1JqAHB4fNNqrXUwddUS6Sbgq0WbsRvQLu3AZ2tyu3p47LHHEmXcmQ7C2sbEIBhfWEgI0X412sWklPph/Pk84Ezg0PjjzPg2cZAI+XxoM/Z9wqkcBDR7dTFZTpMoGlMbBIOBtqimEElJp3Tf33//PWPHjmXgwIEMGjSI9evXt/j6WktTLYgfAB8C4xvYp4GGUniLDijg9SYChOl0Yxg22V3cXHzxxQC89NJLAEQNhYVBKCgNTJG+0ind9yWXXMKtt97KmDFjqK2tTauVGBsNEFrrO+PJ+mY1N1mf6FiCu3Ux2VjkFJiYpkFpaWm9crZpYGESlgAh2omSkpIGJ7fVpfs+5phjuOuuu5o8T126b9M0eemll5KaSb1y5UoikQhjxowBICsra7+uIVUkWZ9ISjDexeTEwheB3B6ehgs6LSxMQjKKSSRhx7/WEtrsbbpgMzh7ZJI7Prlkd22d7vubb74hNzeX8847j++++47Ro0fzwAMPYJrmXse0BUnWJ5IS9HpRphOnbbHDGyG3a8MBwnBZWCGTsIxiEmksXdJ9RyIR5s6dy1dffUXv3r2ZNGkSM2bMSLo+qSbJ+kRSgt5aDMuFCwe1EZsehRkNljPcLsygSSAsAUI0Ldlv+q0tXdJ9FxUVUVxcTP/+sT+l55xzDp9//nn7ChCSrE8E/T6U5YoPcSXRgjjhhBPqlbOy3FjVBpGIzKMU7duBSPd9zDHHsGPHDsrKyigoKODDDz9kxIgRLa57a0k2WZ8HmAr01lpfXjcnQmudfFtLtGtBby3asnBhJeZAANx///31yjmyMzAxiEqAEO3QgU73bZomv//97zn11FPRWnP00Ufz85//vKWX0WqS7WL6K7AQqBu7tQn4OyAB4iAR9HqJKoVTOwi6TDw5zgbLObOdWJiNpk0Woq2lS7pvgDFjxjT7mAMl2QG3h2itHwLCAFprH02sNy06loDXS0TZWMpJbqEn0eQ+//zzOf/88xPlHDlOTG0QjedkEkK0X8m2IEJKqQxiN6aJJ+6Tge4HEb/fi7ayIWLWG8FUUVFRr5wr24mFkUjaJ4Rov5INEHcB7wK9lFIvAyciyfoOKgGfH3KyiYbNfQ5xBXDnujCJpdwQQrRvSXUxaa3fB84DpgCvACO01h81doxS6i9Kqe1KqeX72D9KKVWtlFocf9zRzLqLAygYjE98sy1yuzY8xBXAnefG0gaoxvtzhRDpL6kAoZT6r9a6Qmv9jtb631rrcqXUf5s4bAbQ8PTEXeZqrYvjj3uSqYtoGzoS+1HRtkVe18x9lnPlODDit6dkTQgh2rdGu5iUUm7AA3RRSuWx68Z0DtCzsWO11h8rpfq2Qh1FG4uEw8SWJQc76qDTbpPkTj311HplTctExXuXZFU5Idq3pu5BXAFcC/QgNsy1LkDUAE+2wuefEF+6dDPwG631ilY4p2hlIZ8Xw4oFBcvtxune9WNz++2371VeAoRId6ZpMnToUCKRCAMHDuT555/H4/EkttfNg7jkkku47rrrMAyDOXPm8KMf/Yh+/WLzhrt06cLs2bPrnXfOnDk4nc6ks7l+9NFHXHfddYn3X3/9NTNnzuScc85pvYttgaayuT4OPK6U+pXW+olW/uxFQB+tda1S6gzgTWBAQwWVUpcDlwP07t27lashmhL0eTEsFwCZ+dlNllfSxSTSXLqk+z7llFMSn1dZWcmhhx7K2LFjW3JprSrZeRBblVLZAEqp25RS/1RKDW/JB2uta7TWtfHX/wEcSqku+yg7XWs9Qms9oqCgoCUfK/ZD0OsFy4GpDbK61g8Qp59+Oqeffnq9bXUBIuD3HbA6CrG/SkpKWLNmzV7b69J9P/nkk+gkhm3Xpft+9NFHKS4uZu7cuc2qx+uvv87pp5+Ox7PvUYIHWrLDXG/XWv9dKXUSMBp4GPgTcNz+frBSqhuwTWutlVLHEgtWFU0cJtpAwBdbLMilDTyd3fX2+RtYWlTFFzzx72O2qhB1Zs2axdatW1v1nN26ddvrS8u+tHW6793NnDmzWWk9DoRkA0TdeMUzgela63eUUvc2doBS6hVgFLEb3KXAnYADQGs9DZgAXKWUigB+4Mc6mTAtDriQz4ttGDiwyMx1NVm+Lpe93yctCJGe0iXdd50tW7awbNkyxo0bl/S5D4RkA8QmpdQzwBjgQaWUiya6p7TWP2li/5O0zo1ukWIBrxfbUFi2hadTEgHCYUFUWhCiacl+029t6ZLuu85rr73Gueeei8PhaPZnpFKyAeICYnMafq+13qGU6g7ckLpqiXQS9HmJGOC2LTI7NZykb3eW0wl+8Na07kphQhxIByLdd51XXnllr8zI6SDZ9SB8Sqm1wDil1DhiE9zeT23VRLoI+byElY1HO8jcowVx1lln7VXemeGSACHapQOd7htiN7c3btzID37wg5ZUPSWSXQ/i18DPgX/GN72klJqegqGvIg0Far0EVQTDdpCRXb8JXHczbneuLA9UQmDn3jewhUgH6ZTuu2/fvmzatKlZxxwoyXYx/RQ4TmvtBVBKPQh8BkiAOAiEdgaJKhvLcGKYTY+MzugUG6YX9kvCXyHas2TnQSh2jWQi/lrWgzhIhL2x9aUt5943qBv6VpXVOSd2XEAChBDtWXNWlJuvlHoj/v4c4M+pqZJIN5GADSa4MvadxXV3WQU5oCEckmyuQrRnyd6k/oNSag5wUnzTpVrrr1JWK5FWomENJrgzk5vh6erkwsTAjkouJiHas2SyuV4JHAosA57WWstv/UGm7r5dRm5WUuUNtxVbVc62U1grIUSqNXUP4nlgBLHgcDrw+5TXSKQdbcd+THK65CRV3nBbmJjYtkyMF6I9a6qLaZDWeiiAUurPwBepr5JIJ7YdxVaxANEpf+8AccEFF+y1TblMLG2gkRaESD8VFRWJdUy2bt2KaZrUJQH94osvcDqbngyaCrNnz+bJJ5/kzTffbJPPb0hTASKRr1lrHUl2NqHoOEJ+P7ZpoTTkdtm7i+nqq6/ea5tyGLF7EMhNapF+8vPzE2k27rrrrnrJ9epordFaYxjJDvTsmJq6+iOVUjXxx05gWN1rpVRNE8eKDiDojSfq0xZZDSTq8/l8+PZIyqeUwsRAy/cJ0Y6sWbOGQYMGcdFFFzF48GA2btxIbm5uYv/MmTP52c9+BsC2bds477zzGDFiBMceeyyff/75XucbMWIEq1evTrw/6aSTWLx4MZ9//jknnHACRx11FCeeeCLffvvtXsfedtttPPbYY4n3RxxxBKWlpQA8//zzHHvssRQXF3P11Ven9F5fUwsGmSn7ZNEuBH1eogZY2sT/z5mEHCZ5P56EijfDzzjjDCC2UMruDK2ISIAQSWhodvIFF1zA1Vdfjc/nS/yM7W7KlClMmTKF8vJyJkyYUG/fnj+LzfH111/zwgsvMGLEiEZXRLzmmmu48cYbOf7441m/fj1nnXUWy5cvr1dm0qRJvPbaa9x+++2UlpZSWVlJcXEx1dXVzJ07F8uyePfdd7ntttt49dVXk6rf8uXLeeONN5g3bx6WZXH55Zczc+ZMLrzwwv2+5sYkOw9CHKSCtTuJGBpLW5T/4fcQjVL18ssU3nQTWaeM2udxplJoFZsL4XDK9wzRPhxyyCGMGDGiyXKzZ8+u1zqoqqrC7/eTsdtcoQsuuIDx48dz++238+qrrzJx4kQAduzYwSWXXMLatWubXb/Zs2fz5ZdfJuro9/vp1atXs8+TLAkQolHBHT6CKoKlTYhGyb/qSna+9z6lV1+N54TjsX0+jAZWwDIwsBX4d4ZZ9VfwAAAgAElEQVRw5Cc3wU4cnBr7xu/xeBrd36VLlxa1GPaUmZmZeG0YRr2V5AKBQOK11rrJG9p9+vQhKyuLlStX8uqrrzJjxgwAbr31VsaNG8fVV1/NmjVrGlysyLKsel1HdZ+tteayyy7jt7/97X5fY3Mc3HdgRJPCO/wECWPaBsrhoMsVV9D/rTfpeuutBFauIrBiBaH164lU1F8M0DRMbDTeHbImhGifDMMgLy+Pb7/9Ftu2eeONNxL7Ro8ezVNPPZV4v6+1JSZNmsT9999PMBhk0KBBAFRXV9OzZ0+ARNDYU9++fVm4cCEQG1m1cePGxOe+9tprlJeXA7ERWd9//33LLrQREiBEoyLVfoIqjBUMk1FcjOF2oxwOOk++mEPfexera1ciZWWsHXca3vm7RkGbRqwFUVu5sw1rL0TLPPjgg4wbN46RI0dSVFSU2P7UU0/x6aefMmzYMAYNGsSzzz7b4PETJ07kb3/7W73h4DfddBM33HADw4cP3+da1xMnTmTbtm0MGTKE6dOn079/fwCGDh3KnXfeyejRoxk2bBhjx45l27ZtrXjF9an2tsrniBEj9IIFC9q6GgeNRdPe4O2tS+i1Bc4eWkDBL39Rb/+MGTMIby/jlNmzMVxO+r35Jso0efm+6WwIbuP0E8/mqLFHtlHtRTpatWoVAwcObOtqdGgN/RsrpRZqrZu+wbIbuQchGhWoifV9Ovy1ZB535l77p0yZAkDNsGFsuvZaqt96m9zzzsXhsIgGNb5q6WISor2SLibRqKAvNlcyI1CL+8i9WwLl5eWUl5eTPW4s7qFDKXviCexgEKfLSVTZeHdIF5MQ7ZUECNGoSDg2kiKnIBejgREbEyZMYMKECSilKLx+KpEtW6j62ys43bGywZ2y7KjYW3vr2m5PWvPfVgKEaFQ0GgsQ+Yf0brJs5vHHk3niiVRMm4bDis19CNfKsqOiPrfbTUVFhQSJFNBaU1FRgdvtbpXzpewehFLqL8BZwHat9ZAG9ivgceAMwAdM0VovSlV9xP6Jxn+HC4fv9V/YoMLrp/Ldeedjl8aG5UV2GzsuBEBRURGlpaWUlZW1dVU6JLfbXW/EVUuk8ib1DOBJ4IV97D8dGBB/HAf8Kf4s0kg80zf5RyU3Esk9aBA5Z56JvWolHN6DSDDc9EHioOJwOOjXr19bV0MkIWVdTFrrj4HKRor8CHhBx3wO5CqluqeqPqL5tNZEjVhCpYzs7KSPK/j1NZiBeNeSLetLCdFeteUw157Axt3el8a3bdmzoFLqcuBygN69m+4LF60j+P0WQiqKaat9pj2+6qqr9trm7N2bnCOHAH50IwnPhBDprV3Mg9BaTwemQ2yiXBtX56BR8+kCQiqCxb6T7U2aNKnB7XljfwjvvwOAtjXKkNSuQrQ3bTmKaROwexrCovg2kSZ2Ll1FkDAOc9/fIzZu3JjIE7M7d7fYCl1KQfXCpSmroxAiddoyQLwNXKJijgeqtdZ7dS+JtlP7fQVBFcZhOfZZZvLkyUyePHmv7Y74PAhlwOann5MhjUK0Q6kc5voKMAroopQqBe4EHABa62nAf4gNcV1DbJjrpamqi2i+8ObNRMIOgkTIcGc2fcAeHI5YUDEMxc7l3+L/ajGe4Ue1djWFECmUsgChtf5JE/s18IvGyoi2453/BdqdS1CFyM/ee72HptQFCJQi7O5E7UcfSoAQop2RmdSiQb7581GeXIKEye6U/BDXOpYV/+6hFGrAIGo/ntvKNRRCpJoECLEXrTXeL+aDJxutILdzbtMH7SHRgjAU6pCBBFevJpzCvPVCiNbXLoa5igMrvHEjkc1biI6I3WjOzu20z7LXX399g9sTLQhDobv3BcD7ySfknn9+q9ZVCJE6EiDEXrzz5wNgq9jchaxGZlGPHz++we2maaJQaGUQtFxYXbtS+/FcCRBCtCPSxST24pv/BWZBF7QRG5qakZGxz7KrV69m9erVDe6zlAHKwF9TS9bJJXjnzZOZ1UK0IxIgRD1aa7zzP8dzzEjCKpbqu7EAccUVV3DFFVc0uM9UsXWpfTtryTypBHvnTvz7WNxdCJF+JECIekLffUe0rBx38bEEVXw1uUYCRGNMw0QbENzpI3PkCWBZMppJiHZEAoSoxxe//6D6DCJIrDtofxcfsUyLCDYRvx8zOxtPcTG1n0iAEKK9kAAh6vHO/wKrWzfCOougCmPo3YasNpMjHiDsQBCAzJNPJrhyFRFZKEaIdkEChKjHv2QJnuHDCVUGCBLG3C0La22olkgz1newHBZRoqhIhGjEJqvkpNh55n7S6vUWQrQ+CRAiIbx9O5EtW8g4chjhHcFYoj7TJGJHeHHli5z691O54N8XsG7HusQxt912G7fddluD53M4nUSUjYMoQV8E1xFHYBUUUDv34wN1SUKIFpAAIRICy5YB4B46jEhNAD9BlAUXvnMhD335EEMLhlLhr+DH7/yYN759A601o0ePZvTo0Q2ez+lyEcXGoSBQG0YpRWZJCd5PZbirEO2BBAiR4F+6DCwL96CBRGoDBAizJbCJMn8Zv//B73l2zLP8ffzfGdZlGHfMu4Ob597MvC/nsXgfQ1edLicRophoAt7YiKisk0uwa2pinyWESGsSIESCf+kSXIcdxuytH+PfWU1IhcnNyuXtc95mXN9xKKUo9BTyzJhn+NVRv+Ld9e8y/tLx/PwXP2/wfA6Xg6iKtSBqymNrVGeecAIYhnQzCdEOSIAQAGjbJrBsOSsKg1z/v+vx4CKkohzRdSDZzvqpNkzD5PJhl/PXcX/F1jarKlfxwooX9loUyOFyxrqYDEXFptrYsZ06kVFcjFfmQwiR9iRACABC69dj19byfuZ3XDLoEpzEZkFnZu57saDhXYczOH8wua5cHl7wMNd8dA01oZrEfsvpIEIUl8OkYrM3sT3r5BICK1YQKS9P6TUJIVpGAoQAYOP8DwFwDR3CtUOuIaqiAGRmZTV6nGVYHJp7KDcdcxOflH7Cj//9Y76u/BqIzZ+IYuM0zUQLAiCzpASA2k9kuKsQ6UwChCAUDfHp+3/F71Rcf94fCJWHCKrYKKOsnJykznHxoIv562l/JRgJcvF/LubNNW9iWRa20lhK4asOEaiN3ah2DxyImZ+PV+ZDCJHWJN234PFFj3PEd5UYAw+je05Pyr7dRpDYH/Oc3MYXC7rvvvsSr4sLi3lt/Gvc9PFN3P7p7ZxvxVN7q9j3kIpNtfQ8PA9lGGSddBK1c+ago1GUaabmwoQQLSItiIPc3NK5vLL0efqXGfQ49mQA/GX+RKK+rJx9LxYEMHLkSEaOHJl4n5+RzzNjnuHnQ3/O4sq64a+x2dgVm3frZjq5hGh1dWLuhRAi/UiAOIiV+8u57dPbKPH1wojauIcNAyBUFUh0MXk8nkbPMW/ePObNm1dvm2mYXDP8GiYNnASA1gZWhqJi0243qk88MTbcVUYzCZG2JEAcpGxtc+snt+IL+/iFcywAGfEAEakOJrqYmkr1fcstt3DLLbc0uG9w4WAADMOi1PEtGzdsT+wzc3PJGDaM2rkSIIRIVykNEEqp05RSq5VSa5RSNzewf4pSqkwptTj++Fkq6yN2eWHFC8zbPI8bj72RzDVbsAoLcXTtCkC0NoyPIGiN0+nc78+oywKrDJNgZgWVm70s276rSymz5CQCy5cTqapq2cUIIVIiZQFCKWUCTwGnA4OAnyilBjVQ9FWtdXH88Vyq6iN2WV6+nMcXPc6YPmOYMGACgaVLyThy2K4C/gh+ApgKlFL7PlETLCs+BsKwOH3YyTiiLqb++2ZWVqwEIPO440Br/F991ZLLEUKkSCpbEMcCa7TW67TWIWAm8KMUfp5IQnWwmuvnXE+Bp4A7T7gTu7qa0IYNuIfuChAqGMVPEKsFwQF2b0EYdC+MDZftHuzD5R9czurK1biHDkU5HPgWLmzR5wghUiOVAaInsHG396XxbXs6Xym1VCn1ulKqV0MnUkpdrpRaoJRaUCaLzew3W9vcPPdmyvxl/GHUH+jk6oR/2XIAMoYNTZQzIzZBQjislg0/rWtBRLDJcMfScPxf9ytwm25+/v7PWev7HvfgwfgXSQtCiHTU1jep/wX01VoPAz4Anm+okNZ6utZ6hNZ6REFBwQGtYEfyzNJn+GTTJ9x87M0M6TIEAP+ypaAU7iGx91prHFoTJIzTanqazGOPPcZjjz3W4L66FkSUKKHqarLz3UTKTf4y7i84DAc/e/9nBAf3J7B8OXYw2EpXKYRoLakMEJuA3VsERfFtCVrrCq113V+G54CjU1ifg9qnmz7lT4v/xPj+45l42MTE9sCSpTgP6Y8ZT6kRqAnhVIqQiuJK4gZ1cXExxcXFDe7bvQVRtuY78ntmUbHJS++c3jw37jkMZfC0/SE6HCawfHkrXKUQojWlMkB8CQxQSvVTSjmBHwNv715AKdV9t7dnA6tSWJ+D1ubazdw09yYOzTuU20+4PXHjWWuNf9kyMna7/1C7NTZXIWJo3G5Xk+eePXs2s2fPbnBfogWhbCrXbyS/RyY7tvmIhm36derHs2OeZUX32HyL2gULWnSNQojWl7IAobWOAL8E3iP2h/81rfUKpdQ9Sqmz48WuUUqtUEotAa4BpqSqPgerUDTE1DlTidpRHh31KBnWrnkN4U2biVZW1rv/ENjux8bGNhQZ7sbnQADce++93HvvvQ3u29WCiBLcXktuoRNta6q2xYLQoXmHcuPY37GpMyz/6O8tuUwhRAqk9B6E1vo/WuvDtNaHaK1/F992h9b67fjr/6e1Hqy1PlJrfYrW+utU1udg9MAXD7CiYgX3nnQvfXL61NsXWLYUIDGDGiBQ4SdIfBZ1I6m+k1HXgoiYNgWuIqLRrQD1ZlSP7TuW6JABZH29iXfW/KtFnyeEaF1tfZNapNBba97i79/8ncuGXMapvU/da79/yVKU04n7sMMS28I7gok8TE2l+m5KYh5EnoNCd29qtq/FMFW91N8AI8ZOJjsAz/77LtZUrWnRZwohWo8EiA5qdeVqfvv5bzmm2zH86qhfNVjGv2wZ7kGDUPFv+gCR6lCiBZGVnVyq731RSmFZFirPSZYjl4qv15PXPbNeCwIg6+gRAAzeZHLdnOuoDdU2dDohxAEmAaID8kf83PTxTWQ7s3no5IewjL2Hq+pIhMCKFfVnUAO2N55mA8ju1Hgm12RYloXOis2nsDcF6Nwjg8rN9QOAs29fzM6dmRQ6ko07N3LHvDv2Wr5UCHHgSYDogB5Z8Ahrq9fyu5N+R5eMLg2WCX77LToQqDeDWmtNdGcIn4oFiJy8vCY/65lnnuGZZ57Z536Hw0HUAbZT09noRoanltqqIAFvOFFGKUXG8KPwrPqea4dfywcbPuCFlS8ke7lCiBSRBYM6Cn8VlK/hw3Xv8Or6fzDFLGDkv2+BSAjsMETDYEfiz2H83zgAg4x1f4I3/g1ZBVSGe+MKH0Ygww9Ap7zOTX7s4Ycf3uh+y7KIRCI4+mXT1deb0sAmoDOVm2vpMWBXAPIcNZza2f/losIzWNJ7CY8ufJQhXYZwdFeZGiNEW5EA0R5pDduWw+p3Yd0cKPsafOVsM03u6NmNgZEo1wR3QG5fsNxgOmIPwwGmBYYD/7IlmBnbcLhq4buPwbudDdUXU2gdjje0DtwWGU8Og4IB0GUAdDks9sg/BHJ7gxWbI/Gvf8VGHo0fP77BqjocDsLhMNmDuhFdXUto+xqgMxWbvPUDxNHDAfB/tZh7TrmHn7zzE6bOmcqLp79I75zeqfzXFELsgwSI9iIcgPVzYfUs+OY9qCmNbe9xFBxxBtHO/bm17H+EvKU8eM4rODoPaPR0gek/wn3MIagrpsc2aI3vjnkQttmZaaEiNsbg8VD+LXzzLnz14m5HK8jpAXn9eOSRxWC5Gd8nAJ48cGaBMzP+nIVlmkQiEdz94ze8N/txZZhUrC+HahVr1dgR3IUWyunAP/c9ug7O549H/JT/++ohLn93Cs+f+BBdO/WJndeRAS1MIiiESI4EiHSmdezb/ZfPwZrZEPaBwwP9T4FRN8GAcZAdW8NhxrI/M3/tWu4ZeQ/9mggOttdLcM0asseMSWyrqQiQ648S7uwiYBuY2DD+8V0H+SqhYg1UfgdV30HV+thrfxVEQ/DPhpfycDCRMBrz218QtV8gJ9qZnOiXVCzMgPW7FhpSQEanfHwfvgnWc/QH/uR08tPuhVz5n4uYsWU7nWw7VtKZBZn5kNcPOveHzvHnvH6Q1xecja+CJ4RIjgSIdBT2w9LXYP402L4SPPlw5E/g8NOhbwk43PWKLy9fzpNfPcnYPmM559Bzmjy9f8UKsO16M6g3fLaFPEvhLC4k/EUUa88v6Z7O4DkWeh1bf/uLo0Db8Itnwb8DQrUQ8iaerfnbCISiqKP/H9YXAQrKerPVuZzymsPQZz2Oind5YVpkhGZT8dbH2Oe/jJGRwRA0fyxfxlXfPM/Vhx/Ns93H4YmEYueu3QaV62D56xCorl+nLodDvxLoexL0OQmyJMGjEPtDAkQ6qdkcay0s+Cv4K6HrEPjRUzBkwl5BoY437OWmj2+ii6cLd5xwR1IL/PiXLAHqz6CuXbydPKDzCd0Jf27jSCKTa4IyoKDhm9WOdTOpraqCUVeRk7kZ/Y+1uNyZhCpMdvabRE7+rnQeGWPz4Z9z8PsKyRwaC0THHTqah3sMY+qcqfw68A1PnfoUTnOPJIK+ylirpvI7qFgLpV/Ckpmxf0uAgiNigbXvSXDoqeDKTv7ahDiISYBIB+Vr4OOHYPk/wI7C4WfA8VfF/qA18Qf//vn3U1pbyl/G/YVOrqbnLehwmB2v/R33kCFY8WGs/p0hsmtChDo5sfLcRLUms4VrQdSxLItwOL6+9YB8qlmLqzr2vnKTt16A8Bx1VKw+ixaSedyulsqpvU/l7pF3c/unt3Pz3Jt5+OSHMY3d6ufpHHv03G3EUzQMW5bE7tt8NxcW/w2+fBasDBg4Hop/Av1+AEbrXKcQHZEEiLZU+R18/DAseSU22ujYy2OPzv2SOvz1b17nrbVvccWwK5IeDlr91luEN26k6y3/L7Ftw+dbyDUV5rBYV0wUo9FU31prghGbYNjmD08/SzBis3rrTsJRm6itiWpN1NZEopoKXxRvIMT/vilDAd2tIFm+TLQOs2jZdjZngmUYmIbCMhSOvv0p++xLdpw/GctQWKbCaRqc3P0MrinewR8XP8Jd8+7m7pF3YRiNTOMxHVA0IvY46bpYwCj9MtZ1t+KfsOw1yO4Bwy6A4gv32QIS4mCm2tuM1REjRugF7T019I6NscCw+GUwLBjxUzjpWsgqTPoUn23+jKtmX8XxPY7nyR8+2eBs6T3ZwSBrTj8DcjsTfeo5dgai1PjDqNfWcnggyrsndmGbsgl/+Rq2drCx31i8wSg7gxG88YcvFCUQiZLsj81x1gb6mZXMDMZaB3eHw5SYWbxWuZGNGT15JzNcr/wvF7/OqNLFXHDmPdhq7wDg7PI+roIPCVWUoCvPwmWaOCwDh6lwmAZO08BpGbgsA5dl4nLs9toycDtNcqwIg2s/Y1j5O/Sq/AxDR9mRN5TtA/+P0MBz6ZTpISfDQbbLwjBkxJToGJRSC7XWI5pzjLQgDqSaLTD3EVgUXzhvxGVw0lTI6d74cXG2rakNRVi2fTVT506lW0YfTi+8gTcWbWFnIEJNIBx79ocT72sCYWr8sdcnrvwfv9y8mVv7nMmixz8BwKHhn9EsShXc++k68swAP3IoaoKK8toQWS6LnrkZZLlMMl0WmS4Lt2Xgcpi4HSaL57yDwzQ49cxzscxYKyDWGoi1Cr5ZGOH7byr5x2UnoDVYK7bhnFtOn5wghZ4sLr70cGytidiaqG3j+G8FmU98ztMn5uIr6kckqgnbNuGITcTWBCOH8XGFi5XMYnCvAga5JxGO2oSjNqGoTSgSewTjz95ghEpv7H0wEsUfsvGFIvhCfYCrKeBCzjbn8eOKjzhs3m/Y/Ol9/DVyGq9Ef4hPxQJFboaDLlkuCrLjjywXXeLPXXPc9Mh10znTmdT9HyHaEwkQB0LNFvj0sdjNZx2Foy5Gl1yPN6MH22sClK2roKw2SKU3RKU3xA5fmCpfiCpfmB2+EFW+ENW+MDuDETBq8fR9GgzYvuoCfr2wfob0TKcZ+/brtsh2OyjMdnNogUWupTn7P/+j+pCBTLrqfH6W4STH7UCvqiJv3lYyigv4ZkIJ2zZ+x5+fX8apQ3vx2EUnNXlpo257HYA//L+rG9zv35DNdysjDO+dh1KKaH4WW+aWU6gU31QGObZPHqa1q6UQyjyFtU/cz3HeUvKGlzR4zqv0A9zzmYd/fPsPRh3WnSuPvDLZ/4kE29YEIlF8oSi+4Ll4gyG+XjObwmXPcGvZ37jB/TZLup7D//LOZ0Mkl/KdQb7dXsu8tRVU+8N7nc9lGfTIzaBHrpsenTLokZtBUV4GvTt76J3voWu2W1ojot2RAJEiOwNhtm5aj+vzJ+ixdiaGHeGznHG87JzI8lV5lH2xEn94WYPHZrst8jxO8jwO8jxO+nfJJNfjxOOymV11N2UhL1cf/giDRw0mx+2gUzwgZLksLLPhfvnKl15m244KDn/0YY4/dte6EIveWg9A79G9cVoGNVU7APC0MNV3nbqU39FoFMuyMLOdBBx+OgUyiUaj7NjmI7/nrs9yFBVhFRTgW7iIvJ/8pMFzGsrgjhPuIGyHeWpxbFTTZUMua1a9DEPhcVp4nBZkAXigxwQ4eQJsWoTzsyc5ZsXfOGbrzNgoslN+Bd2OByAYiVJRG6JsZ5CtNQG27PCzuTrAph1+Nu/w8/G3ZWzfGazXDec0DYo6xwNG/NE3P5O+XTwU5XlwO+RmuUg/EiD2k9aaSm+I9RVe1pf7Ys8VPtaXe/FVbOLCyBtcZM7GIso/oiczXZ9LNNqHbk43xfluCuPdFYU5Lgqy3BRku8jPcpKb4Wjwj7ytbW76+Ca2BFfzh1F/YEyfHyRdVzsQoOKZZ/Accwye449PbI9GbVzbffg9DpxdYpPLaqtjcwqyWilA1C0aFA6HE8HC6OGky3fdobacik219QJELHHfcPyLFjV6XkMZ3DPyHsLRMI8ufBSH4WDyoMmtUmd6DocJf4FT74TP/wSLXoClM+GQH8LIa3D1HxVvLWRw5D5OEYrYbKn2832ljw0VPjZW+vg+/li4virWGkxcM/TolEGffA998jPpG3+OvffEgpgQbUB+8poQithsqPCytqyWtWVe1m6vZW25l3VltewM7PolNw1FSaftXGt+wMnqfUxHlNLeP6LmmGs5pffhTMxytaiL4anFT/Hu+ne57ujrGNNnTNMH7KZq5kwiZWX0eOT39frJNy/YTidDET1iV06k2tqdAGR3yt3vuu4usexoZNe/Vc6wIgIbtpBr1uy1NgTE8jLtfO89wlu34ujWbZ/nNg2T35X8joiO8NCXD+E0nEw6YlKr1BuAvD5w+gPwgxthwV9g/jPw4jnQbRiMvAYGnxMbLdUAp2XE/8hnUrLHxHatNVW+MOsrvHxfEftysSH+/O7yLVT56ndhFWa7EsGjT7zLqi6Q5Hr2PdpMiJaSABFX6Q2xrqw2EQjWxZ+/r/QRtXf1FXTv5OaQgizOPaonffMz6d/ZycAd/6Pg6xcxvp8HpguKJ0HJVHp37t8qdXt77dtMXzqd8wacx6WDL23WsbbPR8Wzz+E54Xgyj60/C7ry883kA91+2CuxzeeNrdWQnds6AWL3FkSdvOLebH57M91ciorNey8OlHFUPHHfokU4zjij8fMbDh4seZBwNMy98+/FYTo4b8B5rVL3BE9nOPk3cMIvY8Nj5z0RSy3y37vhuCtg2I+bNVtbKUXnTCedM50M7713SvVqf5jvK3xsqIwHjvLY88ffxLqudpfjtuiTn0nvfE+97qvenT107+TeZ5ejEMk4qAKENxip1yX0XXnssa6stt63Nqdl0L9LJgO7ZzN+WHf6F2RxSEEW/QoyyXLF/8l2boWFM2DWDNi5BXL7wJh74KjJsT8oraAmVMNTXz3FzNUzOa7bcdx23G3NHilT9corRCsqKPjVH+tt17bGsdmLz23iKty19rTP6wMgJ7fptSAAXn/99Ub3N9SCMDOd+B1e8kPZLN20d4BwDzwC5fHgW7iInCYCBIDDdPDIqEe45qNruGveXewI7mDyoMk4jIa/3e83hxuGXwLFF8O378Gnf4T3b4MP7oQBY3alQ4lnut1fnTIcDC3qxNCivSc++kPReLeVN9F9taHSx4pN1by/Yivh6K4vM6ah6Jkbu+/Rq3MGRXkeesWDR6+8DBl5JZrUoQJE1NZsqwmwsdLHxio/Gyt9lFb52VgV+4XaVlP/21fXHBd98zM5bUh3DinI5JDCLA7pkkXPvAzMhrqDKtfBV+/Fspuu/ySWifTQ0XDWY7E/EK00K9fWNm+teYvHFj3GjuAOLjjsAn49/Nc49tGdsS/RWi8Vzz5H5kkn4Rk+vN6+bcvKyVEQPLR+S8Ef8IMdJTMnudXkunRpeEGiOg21IAB0V5POGwvxlpfz7YJtHHp0YeKPlbIsMoYNw/vZZ0R37sTMbjo1htN08tiox7jx4xt5dOGjvPHtG9xwzA2cXHRyUtfRLIYRCwSHnw7bv45NdFz6auznwp0LQ86PTb7reXSrZ57NcJoc3i2bw7vt/W8StTVbawJ8X+Hj+0pv/J5H7D7I+yu2UeEN1SvvcZr0yvNQlJdBz7zYqKui+PuiPA95HocEkINcSgOEUuo04HHABJ7TWj+wx34X8AJwNFABTNJar2/snP5QlHeXb2VrtZ8tNQG2VgfYUl337K/3DUop6Jbjpleeh5IBBfTrkpkYOdI3P5NMVxOXH43Axs9jv/jfvAfl38S2FxwR624YfklsfYRWtLJiJffNv48lZUs4suBIptkt3i8AAAsxSURBVI2exsD8gft1rqqXXiK6YwcF1+y9JnX5J5vIBbr9sP5aC4FAEBWNYjUyk3p3M2bMAGDKlCkN7q9rQewZILIHd8fetIMenfy8/9z/b+/ug6OozwCOf59ckrvLK4T3BGooAwgBLPUd2g7UWmm10FpawNHB1o61QKuMLyNOx9raju2IjnYUtPV1rKON1Bmow1QdFRVUBBWFBAMSUBNCAkISSO7I29M/fhsS8EIOJNk78nxmMrt7t7t5+HGXZ3d/u8+vhJI3K/n2nDEMyHcd1rkzZ1J1223suPj7DPzNdfSbN4+UbmIKpYa4f/r9vFn5JndvuJuFryxkasFUbj7nZkb1O7X/T0cMPhMu/iNcdDuUvwabnnEPQG58FHJHwBlToXCqm+Z9vUdLlbefMRT0C3PhqAFfer/hcAsVB1zCcAdR7gCq4kCEd3ftP6pPDSCU5t26m+tu3x2W6/ad3y/M0Nwgg7JD5IRSLYmcxnrsSWoRCQDbgIuBCmADME9VSzutswCYpKrXichc4CeqetxexuCw0Tps/n2Au3VwSG6QYblhhuW6D/CIvDAjvFPp/H4hgvHWFIrWQ81WqCmB6lJXRXXPZjhc76qNFn4LxsyAMZfEXQrjRNRGa3lg0wMUlxXTP9SfxWcvZuaomaTEeJq4O6pKc2UlO386m4zJkxnx0PIvrbN1yVpSUoWxd04FIBqNsmvXLlaueI7mSCO//8tdcf2uadOmAbBmzZqY71dVVfHwww8TDAYZN24ckyZNorCwkNbGJqruXM+BAV8QOP883llZTlO0lUnTh3PuZSMJhlOJlJSw9557aHjrbdIKChh0ww3kXPpD5HglNjzNrc08W/Ysyzctp7GlkTlj57DgGwviqlf1lUXroHSlK9G+ax007nOvZw+DM6a4ZDF0oitNnjkoYca3qIs0U3kgQoWXOHbXRqjybt+tqot86dZdcElkSE6IIdkhBucEGZwdYkBWOgMy0xmQFSQvM52BWa6/JStoycRPJ/MkdU8miAuBO1T1Em95CYCq3tVpnRe9dd4WkVRgDzBIjxPUmKKz9PmX3mBoboi8jPTYdwa1tUFL9OifSC007HNf1oa9br5hHzTUwN5tUPdZx/bBHBg8DoYUubEXRk0/ZRVA65vqKa8tp7yuvGNaV87uQ7sREeaOncvCyQvJSc+Je58tBw4Q3bKFyObNRDdvIbJlM61790EgQGHxvwkXFR21/hdl+2l4fDMVhULTmW3s2LGDiooKVJUUIDtykMV/uyeu391dggDYuXMnH374IaWlpTQ1NZGdnc3EiRPJen0/Oa3pTPjr5UQONfHOynJK1+4mnJ3OlMtHMfa8oUiKcGjtOmqWLuXwxx8TGj+ewTfdSOaUKXHFdyB6gAc3Pchz254jKy2Lc4eeS35WPgVZBRRkFRyZz0zL7H5nJ0PVnXl+us4li0/XuT6rdmkZrv+q/xkd04wB7jMYzIaQNw3mumkgzbeE0tTSRnV9lN21EaoPHqamPkp1fZTq+sNU10epOeimjU2tMbdPD6SQE04lJ5RGdtg9v5MTSj1S1sQ9lxIgnB4gMxggnOaWQ2muTEp6+08g5chyWqCjjlcgRSwBHUeiJYjZwAxV/ZW3fBVwvqou6rTOFm+dCm95h7fOvq72OyJ/uC6+ZlFXb5s4CEIkpZkmaQFVAocjBA7VE2ioIxA5RP7osVxx59K49hVPgmjX3NzMtm3b+Oijj9i+fTttbW1ktYUIAEd9CpOrPJgxSeHGPy85PWsxici1wLUAXxtaQLilm8tGCXAQEX8IpyjY9iOnOHeX2RogM6+NvMwMwuEQacEgqelBUtPTGT5+Yvc7OAlpaWkUFRVRVFREY2MjG15dy/aNJR35oH1GXCmMLg9e2r5qBol/+4TMVQkZlDkdJd0lptOimutp5ETOIIwx/km0aq4bgNEiMhKoBOYCVxyzzipgPvA2MBt49XjJwSSe1atX+x2CMaaH9FiCUNUWEVkEvIi7zfUxVS0RkT8BG1V1FfAo8JSIfALsxyURk0QyMjL8DsEY00N6tA9CVVcDq4957fZO81HgZz0Zg+lZy5YtA2DBgtjlvo0xycsKtZivpLi4mOLiYr/DMMb0AEsQxhhjYrIEYYwxJiZLEMYYY2KyBGGMMSamHntQrqeIyEGgzO84EsRAoMuyJH2MtUUHa4sO1hYdxqrqCRWVS4pSG8coO9GnAU9XIrLR2sKxtuhgbdHB2qKDiJxwCQq7xGSMMSYmSxDGGGNiSsYE8Q+/A0gg1hYdrC06WFt0sLbocMJtkXSd1MYYY3pHMp5BGGOM6QVJlSBEZIaIlInIJyJyq9/x+EVERojIayJSKiIlInK93zH5SUQCIvKBiLzgdyx+E5F+IrJCRD4Wka3euCx9kogs9r4fW0TkGREJ+R1TbxGRx0Skxhu1s/21PBF5WUS2e9P+3e0naRKEiASAB4EfAOOBeSIy3t+ofNMC3Kiq44ELgIV9uC0Arge2+h1Egrgf+J+qngmcRR9tFxEpAH4HnKOqE3BDDvSl4QSeAGYc89qtwCuqOhp4xVs+rqRJEMB5wCeqWq6qTcCzwCyfY/KFqlap6vve/EHcH4ECf6Pyh4gMBy4FHvE7Fr+JSC7wHdw4K6hqk6rW+huVr1KBsDdaZQaw2+d4eo2qvoEbY6ezWcCT3vyTwI+7208yJYgC4PNOyxX00T+KnYlIITAZWO9vJL65D7gFaPM7kAQwEtgLPO5dcntERDL9DsoPqloJLAU+A6qAOlV9yd+ofDdEVau8+T3AkO42SKYEYY4hIlnAf4AbVLXe73h6m4hcBtSo6nt+x5IgUoFvAstVdTLQQByXEU5H3vX1WbikmQ9kisiV/kaVOLyhnbu9hTWZEkQlMKLT8nDvtT5JRNJwyeFpVX3e73h8MhWYKSK7cJccvysi//I3JF9VABWq2n42uQKXMPqi7wE7VXWvqjYDzwNTfI7Jb9UiMgzAm9Z0t0EyJYgNwGgRGSki6bgOp1U+x+QLERHcdeatqnqv3/H4RVWXqOpwVS3EfR5eVdU+e5SoqnuAz0VkrPfSRUCpjyH56TPgAhHJ8L4vF9FHO+w7WQXM9+bnAyu72yBpivWpaouILAJexN2R8Jiqlvgcll+mAlcBm0Vkk/fabd4Y4KZv+y3wtHcQVQ78wud4fKGq60VkBfA+7q6/D+hDT1WLyDPANGCgiFQAfwD+ChSLyDXAp8DPu92PPUltjDEmlmS6xGSMMaYXWYIwxhgTkyUIY4wxMVmCMMYYE5MlCGOMMTFZgjCmC15l1AXe/LQTrRYrIleLSH7PRGdMz7MEYUzX+gELvsL2V+PKPBiTlOw5CGO6ICLtFYPLgGZcbaN9wATgPeBKVVURORu4F8jy3r8a9zDjE7hyMBHgQuBm4EdAGHgL+LXaF9AkMEsQxnTBq5T7gqpOEJFpuNIERbiy0etwf/DXA68Ds1R1r4jMAS5R1V+KyBrgJlXd6O0vT1X3e/NPAcWq+t/e/VcZE7+kKbVhTAJ4V1UrALwSJ4VALe6M4mVX8ocArrx0LNNF5Bbc2AR5QAlgCcIkLEsQxsTvcKf5Vtz3R4ASVT3u0J7ecJfLcCOcfS4idwB9ZghMk5ysk9qYrh0EsrtZpwwY1D72s4ikiUhRjO3bk8E+bxyP2ac6WGNONTuDMKYLqvqFiKzzBn6PANUx1mkSkdnA370hP1Nxo9yV4DqpHxKR9k7qfwJbcKN5beidf4UxJ886qY0xxsRkl5iMMcbEZAnCGGNMTJYgjDHGxGQJwhhjTEyWIIwxxsRkCcIYY0xMliCMMcbEZAnCGGNMTP8HRIuuXgXSoq4AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f71e20a7080>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -237,21 +256,52 @@
     "# plotting\n",
     "\n",
     "fig, ax = pyplot.subplots()\n",
-    "for t in range(history.max_t + 1):\n",
-    "    df, w = history.get_distribution(m=0, t=t)\n",
+    "for t in range(history1.max_t + 1):\n",
+    "    df, w = history1.get_distribution(m=0, t=t)\n",
     "    pyabc.visualization.plot_kde_1d(df, w, xmin=0, xmax=10,\n",
     "                                   x='theta', ax=ax,\n",
     "                                   label=\"PDF t={}\".format(t))\n",
     "ax.axvline(theta_true, color='k', linestyle='dashed', label=\"True value\")\n",
-    "ax.legend()\n",
-    "pyplot.show()"
+    "ax.legend()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We observe differences compared to the non-adaptive setting. In particular, the densitities tend to be narrower around the true parameter $\\theta=3$."
+    "We observe differences compared to the non-adaptive setting. In particular, the densitities tend to be narrower around the true parameter $\\theta=3$. In addition, despite, the better convergence, the required number of samples in total is lower, as not so much time was wasted trying to match an uninformative summary statistic:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f71e42210f0>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pyabc.visualization.plot_sample_numbers([history0, history1], [\"Fixed distance\", \"Adaptive distance\"])"
    ]
   },
   {
@@ -279,7 +329,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,
diff --git a/doc/examples/parameter_inference.ipynb b/doc/examples/parameter_inference.ipynb
index f3dfa51..694d1be 100644
--- a/doc/examples/parameter_inference.ipynb
+++ b/doc/examples/parameter_inference.ipynb
@@ -173,14 +173,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:History:Start <ABCSMC(id=6, start_time=2019-03-24 18:48:15.644727, end_time=None)>\n",
-      "INFO:Epsilon:initial epsilon is 1.2026360337417659\n"
+      "INFO:History:Start <ABCSMC(id=1, start_time=2019-05-01 15:54:03.888520, end_time=None)>\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "6"
+       "1"
       ]
      },
      "execution_count": 6,
@@ -219,18 +218,21 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:ABC:t:0 eps:1.2026360337417659\n",
-      "INFO:ABC:t:1 eps:0.5086742442976572\n",
-      "INFO:ABC:t:2 eps:0.3047326519177156\n",
-      "INFO:ABC:t:3 eps:0.16267476153717844\n",
-      "INFO:ABC:t:4 eps:0.08698426846049073\n",
-      "INFO:ABC:t:5 eps:0.03792727934617782\n",
-      "INFO:History:Done <ABCSMC(id=6, start_time=2019-03-24 18:48:15.644727, end_time=2019-03-24 18:49:49.441576)>\n"
+      "INFO:Epsilon:initial epsilon is 1.1434613574616828\n",
+      "INFO:ABC:t:0 eps:1.1434613574616828\n",
+      "INFO:ABC:t:1 eps:0.5810551822797738\n",
+      "INFO:ABC:t:2 eps:0.2830225846263807\n",
+      "INFO:ABC:t:3 eps:0.15400906430987377\n",
+      "INFO:ABC:t:4 eps:0.06141931917470287\n",
+      "INFO:ABC:t:5 eps:0.03243574157985282\n",
+      "INFO:ABC:t:6 eps:0.015879264594261353\n",
+      "INFO:ABC:t:7 eps:0.006959981025379877\n",
+      "INFO:History:Done <ABCSMC(id=1, start_time=2019-05-01 15:54:03.888520, end_time=2019-05-01 16:00:18.769992)>\n"
      ]
     }
    ],
    "source": [
-    "history = abc.run(minimum_epsilon=.05, max_nr_populations=10)"
+    "history = abc.run(minimum_epsilon=.01, max_nr_populations=10)"
    ]
   },
   {
@@ -281,7 +283,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -319,7 +321,29 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f70b4b09ba8>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -331,7 +355,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -343,7 +367,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -357,7 +381,8 @@
    "source": [
     "pyabc.visualization.plot_sample_numbers(history)\n",
     "pyabc.visualization.plot_epsilons(history)\n",
-    "pyabc.visualization.plot_confidence_intervals(history)"
+    "pyabc.visualization.plot_confidence_intervals(history)\n",
+    "pyabc.visualization.plot_effective_sample_sizes(history)"
    ]
   },
   {
@@ -387,7 +412,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,
diff --git a/pyabc/visualization/__init__.py b/pyabc/visualization/__init__.py
index 08807c9..c2600b5 100644
--- a/pyabc/visualization/__init__.py
+++ b/pyabc/visualization/__init__.py
@@ -25,6 +25,9 @@ from .confidence import (
     plot_confidence_intervals)
 from .model_probabilities import (
     plot_model_probabilities)
+from .effective_sample_size import (
+    plot_effective_sample_sizes)
+
 
 __all__ = [
     "plot_kde_1d",
@@ -40,4 +43,5 @@ __all__ = [
     "plot_histogram_matrix_lowlevel",
     "plot_confidence_intervals",
     "plot_model_probabilities",
+    "plot_effective_sample_sizes",
 ]
diff --git a/pyabc/visualization/effective_sample_size.py b/pyabc/visualization/effective_sample_size.py
new file mode 100644
index 0000000..5ea9910
--- /dev/null
+++ b/pyabc/visualization/effective_sample_size.py
@@ -0,0 +1,73 @@
+import matplotlib.pyplot as plt
+from typing import List, Union
+from matplotlib.ticker import MaxNLocator
+
+from ..weighted_statistics import effective_sample_size
+from ..storage import History
+from .util import to_lists_or_default
+
+
+def plot_effective_sample_sizes(
+        histories: Union[List, History],
+        labels: Union[List, str] = None,
+        rotation: int = 0,
+        title: str = "Effective sample size",
+        size: tuple = None):
+    """
+    Plot effective sample sizes over all iterations.
+
+    Parameters
+    ----------
+
+    histories: Union[List, History]
+        The histories to plot from. History ids must be set correctly.
+    labels: Union[List ,str], optional
+        Labels corresponding to the histories. If None are provided,
+        indices are used as labels.
+    rotation: int, optional (default = 0)
+        Rotation to apply to the plot's x tick labels. For longer labels,
+        a tilting of 45 or even 90 can be preferable.
+    title: str, optional (default = "Total required samples")
+        Title for the plot.
+    size: tuple of float, optional
+        The size of the plot in inches.
+
+    Returns
+    -------
+
+    ax: Axis of the generated plot.
+    """
+    # preprocess input
+    histories, labels = to_lists_or_default(histories, labels)
+
+    # create figure
+    fig, ax = plt.subplots()
+
+    # extract effective sample sizes
+    essss = []  # :)
+    for history in histories:
+        esss = []
+        for t in range(0, history.max_t + 1):
+            # we need the weights not normalized to 1 for each model
+            w = history.get_weighted_distances(t=t)['w']
+            ess = effective_sample_size(w)
+            esss.append(ess)
+        essss.append(esss)
+
+    # plot
+    for esss, label in zip(essss, labels):
+        ax.plot(range(0, len(esss)), esss, 'x-', label=label)
+
+    # format
+    ax.set_xlabel("Population index")
+    ax.set_ylabel("ESS")
+    ax.legend()
+    ax.set_title(title)
+    # enforce integer ticks
+    ax.xaxis.set_major_locator(MaxNLocator(integer=True))
+    # set size
+    if size is not None:
+        fig.set_size_inches(size)
+    fig.tight_layout()
+
+    return ax
diff --git a/pyabc/weighted_statistics.py b/pyabc/weighted_statistics.py
index 55032e8..22690c9 100644
--- a/pyabc/weighted_statistics.py
+++ b/pyabc/weighted_statistics.py
@@ -1,11 +1,21 @@
+"""
+Weighted Statistics
+-------------------
+
+Functions performing statistical operations on weighted points
+generated via importance sampling.
+"""
+
 import scipy as sp
 import numpy as np
+from functools import wraps
 
 
 def weight_checked(function):
     """
     Function decorator to check normalization of weights.
     """
+    @wraps(function)
     def function_with_checking(points, weights=None, **kwargs):
         if weights is not None and not np.isclose(weights.sum(), 1):
             raise AssertionError(
@@ -17,7 +27,7 @@ def weight_checked(function):
 @weight_checked
 def weighted_quantile(points, weights=None, alpha=0.5):
     """
-    Weighted alpha-quantile. E.g. alpha = 0.5 -> median.
+    Compute the weighted alpha-quantile. E.g. alpha = 0.5 -> median.
     """
 
     # sort input and set weights
@@ -36,16 +46,39 @@ def weighted_quantile(points, weights=None, alpha=0.5):
 
 @weight_checked
 def weighted_median(points, weights):
+    """
+    Compute the weighted median (i.e. 0.5 quantile).
+    """
     return weighted_quantile(points, weights, alpha=0.5)
 
 
 @weight_checked
 def weighted_mean(points, weights):
+    """
+    Compute the weighted mean.
+    """
     return (points * weights).sum()
 
 
 @weight_checked
 def weighted_std(points, weights):
+    """
+    Compute the weighted standard deviation from the
+    weighted mean.
+    """
     mean = weighted_mean(points, weights)
     std = sp.sqrt(((points - mean)**2 * weights).sum())
     return std
+
+
+def effective_sample_size(weights):
+    """
+    Compute the effective sample size of weighted points
+    sampled via importance sampling according to the formula
+
+    .. math::
+        n_\\text{eff} = \\frac{(\\sum_{i=1}^nw_i)^2}{\\sum_{i=1}^nw_i^2}
+    """
+    weights = np.array(weights)
+    n_eff = np.sum(weights)**2 / np.sum(weights**2)
+    return n_eff


Test patch:
diff --git a/test/visualization/test_visualization.py b/test/visualization/test_visualization.py
index b1ef585..0c27dae 100644
--- a/test/visualization/test_visualization.py
+++ b/test/visualization/test_visualization.py
@@ -54,6 +54,11 @@ def test_sample_numbers():
     pyabc.visualization.plot_sample_numbers(histories, labels, rotation=90)
 
 
+def test_effective_sample_sizes():
+    pyabc.visualization.plot_effective_sample_sizes(
+        histories, labels, rotation=45)
+
+
 def test_histograms():
     pyabc.visualization.plot_histogram_1d(histories[0], 'p0', bins=20)
     pyabc.visualization.plot_histogram_2d(histories[0], 'p0', 'p1')