wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We introduce a measure of informativeness of the posterior conditioning, which quantifies the bias of PAE relative to parametric model-based estimators , and we study other robustness properties of PAE for estimation and prediction .
Revised:  We introduce a measure of informativeness of the posterior conditioning, which quantifies the worst-case specification error of PAE relative to parametric model-based estimators , and we study other robustness properties of PAE for estimation and prediction .
Edit intent: meaning-changed
Original:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed  in Cattaneo, Jansson  and Ma ( 2019 ), which is boundary adaptive , fully data-driven and automatic, and requires only the choice of one tuning parameter.
Revised:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed and studied in Cattaneo, Jansson and Ma ( 2019 ), which is boundary adaptive , fully data-driven and automatic, and requires only the choice of one tuning parameter.
Edit intent: meaning-changed
Original:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed  in Cattaneo, Jansson  and Ma ( 2019 ), which is boundary adaptive , fully data-driven and automatic, and requires only the choice of one tuning parameter.
Revised:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed in Cattaneo, Jansson , and Ma ( 2019 ), which is boundary adaptive , fully data-driven and automatic, and requires only the choice of one tuning parameter.
Edit intent: fluency
Original:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed  in Cattaneo, Jansson  and Ma ( 2019 ), which is boundary adaptive , fully data-driven and automatic, and requires only the choice of one tuning parameter.
Revised:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed in Cattaneo, Jansson and Ma ( 2020a,b ), which is boundary adaptive , fully data-driven and automatic, and requires only the choice of one tuning parameter.
Edit intent: meaning-changed
Original:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed  in Cattaneo, Jansson  and Ma ( 2019 ), which is boundary adaptive , fully data-driven and automatic, and requires only the choice of one tuning parameter.
Revised:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed in Cattaneo, Jansson and Ma ( 2019 ), which is boundary adaptive and involves only one tuning parameter.
Edit intent: clarity
Original:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed and studied in Cattaneo, Jansson, and Ma ( 2020a, b ), which is boundary adaptive and involves only one tuning parameter.
Revised:  This article discusses the R and Stata package lpdensity implementing a novel local polynomial density estimator proposed and studied in Cattaneo, Jansson, and Ma ( 2020, 2021 ), which is boundary adaptive and involves only one tuning parameter.
Edit intent: meaning-changed
Original:  This forms a testable null hypothesis and suggests statistical tests for p-hacking.
Revised:  We find novel additional testable restrictions for p-values based on t-tests. Analytical characterizations of the distributions of p-values under the null of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking.
Edit intent: meaning-changed
Original:  We extend our results to p-hacking when there is also publication bias , and also consider what types of distributions arise under the alternative hypothesis that researchers engage in p-hacking.
Revised:  Results are extended to practical situations where there is publication bias and when reported p-values are rounded. We also show that tests for p-hacking when there is also publication bias , and also consider what types of distributions arise under the alternative hypothesis that researchers engage in p-hacking.
Edit intent: meaning-changed
Original:  We extend our results to p-hacking when there is also publication bias , and also consider what types of distributions arise under the alternative hypothesis that researchers engage in p-hacking. We show that the power of statistical tests for detecting p-hacking is low even if p-hacking is quite prevalent .
Revised:  We extend our results to p-hacking based on distributions of t-statistics can be problematic and may not control size. Our proposed tests are shown to have good properties in Monte Carlo studies and are applied to two datasets of p-values .
Edit intent: meaning-changed
Original:  Analytical characterizations of the distributions of p-values under the null of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking . Results are extended to practical situations where there is publication bias and when reported p-values are rounded.
Revised:  Specifically, the shape of the power functions results in both complete monotonicity as well as bounds on the distribution of p-values under the null of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking . Results are extended to practical situations where there is publication bias and when reported p-values are rounded.
Edit intent: meaning-changed
Original:  Analytical characterizations of the distributions of p-values under the null of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking . Results are extended to practical situations where there is publication bias and when reported p-values are rounded.
Revised:  Analytical characterizations of the distributions of p-values . These testable restrictions result in more powerful tests for the null hypothesis of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking . Results are extended to practical situations where there is publication bias and when reported p-values are rounded.
Edit intent: meaning-changed
Original:  Analytical characterizations of the distributions of p-values under the null of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking . Results are extended to practical situations where there is publication bias and when reported p-values are rounded.
Revised:  Analytical characterizations of the distributions of p-values under the null of no p-hacking . Results are extended to practical situations where there is publication bias and when reported p-values are rounded.
Edit intent: coherence
Original:  Analytical characterizations of the distributions of p-values under the null of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking . Results are extended to practical situations where there is publication bias and when reported p-values are rounded. We also show that tests for p-hacking based on distributions of t-statistics can be problematic and may not control size. Our proposed tests are shown to have good properties in Monte Carlo studies and are applied to two datasets of p-values .
Revised:  Analytical characterizations of the distributions of p-values under the null of no p-hacking and the alternative where there is p-hacking allow us to both analyze the power of existing tests and provide new more powerful statistical tests for p-hacking . A reanalysis of two prominent datasets shows the usefulness of our new tests .
Edit intent: clarity
Original:  We focus on a competitive stationary equilibrium (CSE) in which the wealth distribution is invariant, the agents maximize their expected discounted utility, and both the prices of  goods and the interest rate are market-clearing.
Revised:  We focus on a competitive stationary equilibrium (CSE) in which the wealth distribution is invariant, the agents maximize their expected discounted utility, and both the prices of consumption goods and the interest rate are market-clearing.
Edit intent: meaning-changed
Original:  Under the same preferences, we show that a higher inequality of endowments does not change the equilibrium prices of goods, and decreases the equilibrium interest rate  .
Revised:  Under the same preferences, we show that a higher inequality of endowments does not change the equilibrium prices of goods, and decreases the equilibrium interest rate . Our results shed light on the impact of market incompleteness on the properties of general equilibrium models .
Edit intent: meaning-changed
Original:  By bringing this unifying invariance approach into ecology, one can see that the log series pattern of species abundances dominates when the consequences of density dependent processes are invariant to  addition or multiplication  .
Revised:  By bringing this unifying invariance approach into ecology, one can see that the log series pattern of species abundances dominates when the consequences of density dependent processes are invariant to addition or multiplication of abundance by a constant .
Edit intent: meaning-changed
Original:  The lognormal pattern dominates when the total of the density independent processes obeys rotational invariance (symmetry) with respect to the summing up of the individual processes acting on abundance . Recognizing how these invariances connect pattern to process leads to a synthesis of previous approaches.
Revised:  The lognormal pattern dominates when the processes acting on net species growth rate obey rotational invariance (symmetry) with respect to the summing up of the individual processes acting on abundance . Recognizing how these invariances connect pattern to process leads to a synthesis of previous approaches.
Edit intent: meaning-changed
Original:  The lognormal pattern dominates when the total of the density independent processes obeys rotational invariance (symmetry) with respect to the summing up of the individual processes acting on abundance . Recognizing how these invariances connect pattern to process leads to a synthesis of previous approaches.
Revised:  The lognormal pattern dominates when the total of the density independent processes obeys rotational invariance (symmetry) with respect to the summing up of the individual component processes . Recognizing how these invariances connect pattern to process leads to a synthesis of previous approaches.
Edit intent: clarity
Original: The mammalian olfactory system learns new odors rapidly, exhibits negligible interference among odor memories, and identifies known odors under challenging conditions. The mechanisms by which it does so are unknown. We here present a general theory for odor learning and identification under noise in the olfactory system, and demonstrate its efficacy using a neuromorphic model of the olfactory bulb .
Revised: We present a neural algorithm for the rapid online learning and identification under noise in the olfactory system, and demonstrate its efficacy using a neuromorphic model of the olfactory bulb .
Edit intent: clarity
Original:  We here present a general theory for odor learning and identification under noise in the olfactory system, and demonstrate its efficacy using a neuromorphic model of the olfactory bulb .
Revised:  We here present a general theory for odor learning and identification of odorant samples under noise, based on the architecture of the mammalian olfactory bulb and implemented on the Intel Loihi neuromorphic system .
Edit intent: clarity
Original: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the '' instantaneous arbitrage capability '' generated by the market itself.
Revised: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability '' generated by the market itself.
Edit intent: fluency
Original: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the '' instantaneous arbitrage capability '' generated by the market itself.
Revised: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the '' instantaneous arbitrage capability " generated by the market itself.
Edit intent: fluency
Original:  Results, obtained by solving explicitly the Schr\"odinger equations by means of spectral decomposition of the Hamilton operator, coincides with those obtained by solving the stochastic Euler Lagrange equations derived by a variational principle and providing therefore consistency . Arbitrage bubbles are computed .
Revised:  Results, obtained by solving explicitly the Schr\"odinger equations by means of spectral decomposition of the Hamilton operator, coincides with those obtained by solving the stochastic Euler Lagrange equations derived by a variational principle and providing therefore consistency .
Edit intent: clarity
Original: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability " generated by the market itself.
Revised: Geometric arbitrage theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability " generated by the market itself.
Edit intent: fluency
Original: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability " generated by the market itself.
Revised: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all asset and their forward dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability " generated by the market itself.
Edit intent: fluency
Original: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability " generated by the market itself.
Revised: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the instantaneous arbitrage capability " generated by the market itself.
Edit intent: fluency
Original: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability " generated by the market itself.
Revised: Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the " instantaneous arbitrage capability generated by the market itself.
Edit intent: fluency
Original:  Results, obtained by solving explicitly the Schr\"odinger equations by means of spectral decomposition of the Hamilton operator, coincides with those obtained by solving the stochastic Euler Lagrange equations derived by a variational principle and providing therefore consistency.
Revised:  Results, obtained by solving the Schroedinger equation, coincide with those obtained by solving the stochastic Euler Lagrange equations derived by a variational principle and providing therefore consistency.
Edit intent: clarity
Original:  However, the majority of these methods have several limitations, e.g. , the inability to perform inductive predictions, to distinguish the directionality of interactions, or to integrate various sequence, interaction, and annotation biological datasets.
Revised:  However, the majority of these methods have several limitations, eg , the inability to perform inductive predictions, to distinguish the directionality of interactions, or to integrate various sequence, interaction, and annotation biological datasets.
Edit intent: fluency
Original:  Using a mean-field approximation to the solution of a regulated birth-death-immigration model  , we systematically quantify how TCR-dependent heterogeneities in immigration and proliferation rates affect the shape of clone abundance distributions (the number of different clones that are represented by a specific number of cells  ).
Revised:  Using a mean-field approximation to the solution of a regulated birth-death-immigration model and a modification arising from sampling , we systematically quantify how TCR-dependent heterogeneities in immigration and proliferation rates affect the shape of clone abundance distributions (the number of different clones that are represented by a specific number of cells ).
Edit intent: meaning-changed
Original:  Using a mean-field approximation to the solution of a regulated birth-death-immigration model  , we systematically quantify how TCR-dependent heterogeneities in immigration and proliferation rates affect the shape of clone abundance distributions (the number of different clones that are represented by a specific number of cells  ).
Revised:  Using a mean-field approximation to the solution of a regulated birth-death-immigration model , we systematically quantify how TCR-dependent heterogeneities in immigration and proliferation rates affect the shape of clone abundance distributions (the number of different clones that are represented by a specific number of cells , or "clone counts" ).
Edit intent: clarity
Original:  By comparing predicted clone abundances derived from our heterogeneous birth-death-immigration model with experimentally sampled clone abundances, we quantify the heterogeneity necessary to generate the observed abundances .
Revised:  By comparing predicted clone abundances derived from our heterogeneous birth-death-immigration model with experimentally sampled clone abundances, we show that although heterogeneity in immigration rates causes very little change to predicted clone-counts, significant heterogeneity in proliferation rates is necessary to generate the observed abundances .
Edit intent: meaning-changed
Original:  By comparing predicted clone abundances derived from our heterogeneous birth-death-immigration model with experimentally sampled clone abundances, we quantify the heterogeneity necessary to generate the observed abundances . Our findings indicate that heterogeneity in proliferation rates is more likely the mechanism underlying the observed clone abundance distributions than heterogeneity in immigration rates .
Revised:  By comparing predicted clone abundances derived from our heterogeneous birth-death-immigration model with experimentally sampled clone abundances, we quantify the heterogeneity necessary to generate the observed abundances with reasonable physiological parameter values. Our analysis provides constraints among physiological parameters that are necessary to yield predictions that qualitatively match the data. Assumptions of the model and potentially other important mechanistic factors are discussed .
Edit intent: meaning-changed
Original:  Factored representations can enable flexible behaviour by abstracting away general aspects of a task from those prone to change, while nonparametricmethods provide a principled way of using similarity to past experiences to guide current behaviour.
Revised:  We investigated two approaches that could enable this flexibility: factorized representations, which abstract away general aspects of a task from those prone to change, while nonparametricmethods provide a principled way of using similarity to past experiences to guide current behaviour.
Edit intent: meaning-changed
Original:  Factored representations can enable flexible behaviour by abstracting away general aspects of a task from those prone to change, while nonparametricmethods provide a principled way of using similarity to past experiences to guide current behaviour.
Revised:  Factored representations can enable flexible behaviour by abstracting away general aspects of a task from those prone to change, and nonparametric, memory-based approaches, which can provide a principled way of using similarity to past experiences to guide current behaviour.
Edit intent: meaning-changed
Original:  The proposed algorithm improves SR's transfer capabilities by inverting a generative model over tasks, while also explaining important neurobiological signatures of place cell representation in the hippocampus. It dynamically samples from a flexible number of distinct SR maps while accumulating evidence about the current reward context , and outperforms competing algorithms  in settings with both known and unsignalled rewards changes.
Revised:  The proposed algorithm improves SR's transfer capabilities by inverting a generative model over tasks, and dynamically samples from a flexible number of distinct SR maps while accumulating evidence about the current reward context , and outperforms competing algorithms in settings with both known and unsignalled rewards changes.
Edit intent: coherence