STAT 581

Schedule of lectures

Fall 2003

THIS SCHEDULE IS PRELIMINARY, AND SUBJECT TO CHANGE

Date
Topic
References and remarks
Monday, Sept 29Introduction and Diagnostic quiz warning
Quiz solutions
Wednesday, Oct 1 1.1 Measurable spaces
1.2 Measures and probability
JAW Notes:Chapter 0
Friday, Oct 3 1.3 Measurable functions and random variables
1.4 Integration and integrability
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Monday, Oct 6 1.5 Absolute continuity and densities
1.6 Product spaces and measures
Summary: Liz Thomas-- Fatou's lemma & Dominated convergence thm
Wednesday, Oct 8 2.1 Group families of dsns
2.2 Exponential families of distributions (Basics)
Homework 1 due
Some background from Stat512/513
Friday, Oct 10 2.3 Sufficiency, minimal sufficiency, completeness
2.4 Vector exponential families.
Summary: Rob Igo-- Radon Nikodym and Change-of-variable
JAW Notes:Chapter 1
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Monday, Oct 13 2.5 Multivariate Normal
2.6 Related distributions: non-central chisquared
Summary: McLean Sloughter -- Exponential families ; sufficiency
Wednesday, Oct 15 3.1 Modes of convergence JAW notes: Ch 2.
Homework 2 due
Friday, Oct 17 3.2 Basic convergence implications
3.3 Inverse transf. Thm.; Skorokhod Thm
Summary: Caroline Cutting -- MVN dsn
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Monday, Oct 20 3.3 ctd; Skorokhod Thm
3.4 Clasical limit theorems
Mann-Wald Theorem,
Summary: Bryan Comstock -- Cgce relns
Wednesday, Oct 22 3.4 ctd. Helly-Bray, Slutsky
3.5 Empirical processes and Brownian Bridge
Homework 3 due
Friday, Oct 24 3.6 Limit theory for uniform quantiles.
3.7 Quantiles of a general dsn.
Summary: Toby White; Skorokhod Thm
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Monday, Oct 27 4.1 Information and Cramer-Rao inequality JAW notes: Ch 3.
Summary: JoAnna Scott: Empirical df. amd Glivenko-Cantelli
Wednesday, Oct 29 4.2 Assumption verification: MVUE Homework 4 due
Friday, Oct 31 4.3 Examples
4.4 Other lower bounds.
Summary: Rebecca Hubbard: CRLB conditions
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Monday, Nov 3 MIDTERM
(Anne-Louise Leutenegger)
Wednesday, Nov 5 4.5 Multiparameter CRLB
4.6 Nuisance parameters and submodels
no homework due
Friday, Nov 7 Jon Wellner, Geometry of scores and influence fns.
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Monday, Nov 10 Bits and pices, wrap-up
Midterm review
Wednesday, Nov 12 4.7 Efficiency and asymptotic Normality
5.1 Basics of MLE
Homework 5 due
JAW notes: Ch 4.
Friday, Nov 14 5.2 Kullback-Liebler Information
5.3 Consistency of MLE
Summary: Ben; multiparameter CRLB
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Monday, Nov 17 5.3 Consistency of MLE (ctd.)
5.4 MLE: Asymptotic Normality
Summary: Chris F.; basics of MLE;
Wednesday, Nov 19 5.4 MLE: Asympt. Normality (ctd)
5.5: Bits and pieces on MLE
5.6: Notation summary.
Homework 6 due
Friday, Nov 21 6.1 Likelihood ratio tests: simple null
6.2 Fixed alternatives and consistency
Summary: Chris G.--asymptotics of MLE
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Monday, Nov 24 6.3 Local alternatives Summary: April -- the 3 test statistics
Wednesday, Nov 26 6.4 Composite null; defns & dsns
6.5 Dsns of the test statistics
Homework 7 due
Friday, Nov 28 THANKSGIVING HOLIDAY
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Monday, Dec 1 6.5 Dsns of the test statistics (ctd)
6.5 Practicalities: note on dimensions
6.6 Reparametrization
Wednesday, Dec 3 7.1 The EM algorithm
(notes as hard-copy handout)
Homework 8 due
Friday, Dec 5 7.2 Why does EM work?
7.3 Examples
Summary: Hao: the 3 tests for general null hypothesis
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Monday, Dec 8 7.3 More about examples
7.4, 7.5 Case of exponential families
Wednesday, Dec 10 Examples, Review, etc. Homework 9 due
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Friday, Dec 12 FINAL EXAM
Marloes Maathuis to proctor.
8.30-10.20, MUE 154