R3 on "What are the most important statistical ideas of the past 50 years? " Andrew Gelman, Aki Vehtari(14)

R3(References on References on References) on "What are the most important statistical ideas of the past 50 years? " Andrew Gelman, Aki Vehtari(14)

R3 on "What are the most important statistical ideas of the past 50 years? " Andrew Gelman, Aki Vehtari(0)
https://qiita.com/kaizen_nagoya/items/a8eac9afbf16d2188901

What are the most important statistical ideas of the past 50 years?
Andrew Gelman, Aki Vehtari
https://arxiv.org/abs/2012.00174

# References 
# 14
Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research 3, 993–1022.

https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf


# References on 14
## 14.1
M. Abramowitz and I. Stegun, editors. Handbook of Mathematical Functions. Dover, New York, 1970.

https://personal.math.ubc.ca/~cbm/aands/abramowitz_and_stegun.pdf

## References on 14.1 

T.B.U.

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B. de Finetti. Theory of probability. Vol. 1-2. John Wiley & Sons Ltd., Chichester, 1990. Reprint of the 1975 translation.
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S. Deerwester, S. Dumais, T. Landauer, G. Furnas, and R. Harshman. Indexing by latent semantic analysis. Journal of the American Society of Information Science, 41(6):391–407, 1990.
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P. Diaconis. Recent progress on de Finetti’s notions of exchangeability. In Bayesian statistics, 3 (Valencia, 1987), pages 111–125. Oxford Univ. Press, New York, 1988.
#### 14.9
J. Dickey. Multiple hypergeometric functions: Probabilistic interpretations and statistical uses. Journal of the American Statistical Association, 78:628–637, 1983.
#### 14.10
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A. Gelman, J. Carlin, H. Stern, and D. Rubin. Bayesian data analysis. Chapman & Hall, London, 1995.
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T. Minka. Estimating a Dirichlet distribution. Technical report, M.I.T., 2000.
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C. Morris. Parametric empirical Bayes inference: Theory and applications. Journal of the American Statistical Association, 78(381):47–65, 1983. With discussion.
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A. Popescul, L. Ungar, D. Pennock, and S. Lawrence. Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments. In Uncertainty in Artificial Intelligence, Proceedings of the Seventeenth Conference, 2001.
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J. Rennie. Improving multi-class text classification with naive Bayes. Technical Report AITR-2001- 004, M.I.T., 2001.
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# 参考資料(References)
Data Scientist の基礎(2)
https://qiita.com/kaizen_nagoya/items/8b2f27353a9980bf445c

岩波数学辞典　二つの版がCDに入ってお得
https://qiita.com/kaizen_nagoya/items/1210940fe2121423d777

岩波数学辞典
https://qiita.com/kaizen_nagoya/items/b37bfd303658cb5ee11e

アンの部屋（人名から学ぶ数学：岩波数学辞典）英語(24)
https://qiita.com/kaizen_nagoya/items/e02cbe23b96d5fb96aa1

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