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Statistics Seminar for Graduates

(0365-4000)

Lecturer Prof. Felix Abramovich ( felix@tauex.tau.ac.il)
Seminar Hours Monday 16-18, Schreiber 209
The seminar is mostly based on the book Computer Age and Statistical Inference by Bradley Efron and Trevor Hastie (EH); parts of the topics are also related to the book The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman (HTF) but you are encouraged to use also any other available sources related to your topic.


Topics:

  1. Frequentist, Bayesian and Fisherian Inference (EH Chapters 2-4), 16 March
  2. Empirical Bayes (EH Chapter 6), 23 March
  3. Objective Bayesian Inference and MCMC (EH Chapter 13), 30 March
  4. Survival Analysis and the EM algorithm (EH Chapter 9), 20 April
  5. The jacknife and the bootstrap (EH Chapters 10-11), 27 April
  6. Multiple testing (EH Chapter 15, HTF Chapter 18.7), 4 May
  7. Sparse linear regression (EH Chapter 16, HTF Chapter 3), 11 May
  8. Linear classification: LDA, QDA, logistic regression (HTF Chapters 4.1-4.4), 18 May
  9. SVM (EH Chapter 19, HTF Chapter 12.1-12.3), 25 May
  10. Trees, random forests and boosting (EH Chapter 17, HTF Chapters 10.1-10.9, 15), 2 June
  11. Neural networks and deep learning (EH Chapter 18, HTF Chapter 11), 15 June
  12. Clustering (HTF Chapter 14.3), 22 June