STATS 300A: Theory of Statistics
Fall 2014
Lecture 2 September 25
Lecturer: Lester Mackey
2.1
Scribe: Yuanyuan Shen and Zi Yin
Recap
Last time, we set out on a quest to develop optimal inference procedures and, along the way,
encountered an important pair
Springer Texts in Statistics
Advisors:
George Casella Stephen Fienberg Ingram Olkin
E.L. Lehmann Joseph P. Romano
Testing Statistical
Hypotheses
Third Edition
With 6 Illustrations
E.L. Lehmann
Professor of Statistics Emeritus
Department of Statistics
Univ
Minimal Sufficient |sigma-Fields and Minimal Sufficient Statistics. Two Counterexamples
Author(s): Dieter Landers and Lothar Rogge
Source: The Annals of Mathematical Statistics, Vol. 43, No. 6 (Dec., 1972), pp. 2045-2049
Published by: Institute of Mathema
COMPUTATIONAL IMPLICATIONS OF
REDUCING DATA TO SUFFICIENT STATISTICS
By
Andrea Montanari
Technical Report No. 2014-12
September 2014
Department of Statistics
STANFORD UNIVERSITY
Stanford, California 94305-4065
COMPUTATIONAL IMPLICATIONS OF
REDUCING DATA T
STATS 300A: Theory of Statistics
Fall 2014
Lecture 1 September 23
Lecturer: Lester Mackey
Scribe: Jessy Hwang, Yishun Dong, Sidd Jagadish
Warning: These notes may contain factual and/or typographic errors.
1.1
The Big Picture
Consider the following owchar
STATS 300A: Theory of Statistics
Fall 2013
Lecture 4 October 3
Lecturer: Lester Mackey
Scribe: Meng Wu; Yiming Sun
Warning: These notes may contain factual and/or typographic errors.
4.1
Completeness and Ancillarity
Last time we dened our ideal notion of
STATS 300A: Theory of Statistics
Fall 2013
Lecture 3 October 1
Lecturer: Lester Mackey
Scribe: Nick Doudchenko, Zhou Fan
Warning: These notes may contain factual and/or typographic errors.
3.1
Minimal Suciency
Last time we dened a notion of maximal lossle
STATS 300A Theory of Statistics
Stanford University, Fall 2014
Problem Set 1
Due: Thursday, October 2, 2014
Reading: TSH 1.1-1.2, 1.4; TPE 1.5-1.6
Instructions:
You may appeal to any result proved in class or proved in the course textbooks.
Any request