Statistical Thinking (ͳ¼Æ˼ά) (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¨C384, 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.