Statistical Thinking (ͳ˼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.

  • 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.