Statistical Thinking (统计思维) (Spring 2021)

Reading Papers

Leo Breiman. Statistical Modeling: The Two Cultures. Statistical Science, 16 (3): 199-231, 2001.

Bradley Efron. Prediction, Estimation, and Attribution (with discussion). JASA, 115 (530): 636-655, 2020.

David Donoho. 50 years of data science. Journal of Computational and Graphical Statistics, 26: 745-766, 2017.

Andrew Gelman and Aki Vehtari. What are the most important statistical ideas of the past 50 years? 2021.

B. Efron .Bootstrap methods: another look at the Jackknife. Ann. Statist., 7: 1-26, 1979.

D R Cox. Regression models and life-tables. Journal of the Royal Statistical Society Series B 34(2): 187-220, 1972.

EL Kaplan and P Meier. Nonparametric-estimation from incomplete observations. Journal of the American Statistical Association 53(282): 457-481, 1958.

Y. Benjiamini and Y. Hochberg. Controlling the false discovery rate: a practical and powerful approach to multiple testing. JRSSB, 57: 289-300, 1995.

R. E. Kass and A. E. Raftery. Bayes factors. Journal of the American Statistical Association, 90:773-795, 1995.

John Nelder and Robert Wedderburn. Generalized Linear Models. Journal of the Royal Statistical Society, Series A, 135 (3): 370–384, 1972.

C. Fraley and A.E. Raftery. Model-Based Clustering, Discriminant Analysis, and Density Estimation. Journal of the American Statistical Association, 97, 611-631, 2002.

A. P. Dempster and N. M. Laird and D. B. Rubin. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society Series B, 39:1-38, 1997.

Reference Books

D R Cox. Principle of Statistical Inference. Cambridge University Press, 2006.

Larry Wasserman. All of Statistics. Springer-Verlag New York, 2003.

Larry Wasserman. All of Nonparametric Statistics. Springer-Verlag New York, 2005.

Geroge Casella and Roger L. Berger. Statistical Inference. Cengage Learning, 2002.

Bradley Efron. Large Scale Inference. Cambridge University Press, 2010.