- Admissible Estimators, Recurrent Diffusions, and Insoluble Boundary Value L. D. Brown
- Spring 2009 Lecture 13. Le Cam's method Two-point argument
- Spring 2009 Lecture 21. Estimation of Large Covariance Matrices: Lower
- Spring 2009 Lecture 7. Empirical Bayes, hierarchical Bayes and random ef-
- Practice Problems Problems in the ...nal exam can be signi...cantly dierent from the following
- Generalized Bayes Estimators in Multivariate Problems James O. Berger; C. Srinivasan
- Spring 2009 Lecture 13. Assouad's Lemma
- Spring 2009 Lecture 17. Assouad's Lemma and minimax lower bound for func-
- Spring 2009 Lecture 9. Empirical Bayes, hierarchical Bayes and random ef-
- Spring 2009 Lecture 25. FDR, Model selection and Sharp Asymptotic Mini-
- Spring 2009 Lecture 23. FDR, Model selection and Sharp Asymptotic Mini-
- A Note on a Method for the Analysis of Significances en masse Paul Seeger
- STAT 365/665 Data Mining and Machine Learning Spring 2009
- STAT 241/541, Probability Theory with Applications Instructor
- Review problems The problems in the ...nal exam could be signi...cantly dierent from the following ones.
- STAT 242b/542b THEORY OF STATISTICS: DRAFT OF COURSE SYLLABUS, 2009 spring Instructor: Harrison H. Zhou.
- Contributions to the Theory of Statistical Estimation and Testing Hypotheses Abraham Wald
- Estimation of Variance and Covariance Components C. R. Henderson
- The Annals of Statistics 2006, Vol. 34, No. 2, 584653
- Spring 2009 Lecture 1. Possible topics in this course
- Spring 2009 Lecture 3. The Canonical normal means estimation problem (cont.).
- Spring 2009 Lecture 5. Bayes estimation, minimaxity and Admissibility (cont.).
- Spring 2009 Lectures 11. Sharp Asymptotic Minimaxity for Nonparametric
- Oct. 1 Oct. 5 Lecture 12. Conditional distribution and Conditional density.
- Practice Problems Problems in the ...nal exam can be signi...cantly dierent from the following
- Robbins, Empirical Bayes and Microarrays Bradley Efron
- Spring 2009 Lecture 19. Estimation of Large Covariance Matrices: Upper
- Optimal Volatility Matrix Estimation for High Dimensional Diffusions With Noise Contamination
