# STA3000 - Advanced Theory of Statistics

## Announcements

## Office Hours

Immediately after class on Fridays 1-3 in SS6026D.
## Syllabus

Roughly speaking I plan to cover the following topics with some things covered in greater depth than others.
- Decision theory - basic formulation of a decision problem, reduction
principles, minimax, Bayes, admissibility.
- Estimation theory
- Hypothesis testing theory
- Statistical inference

## Evaluation

Four to five assignments and a sit-down exam in April
with everything equally weighted.

## References

I won't use a specific text but students may find the following references useful:

- J. Berger - Statistical Decision Theory - Springer
- M. Schervish - Theory of Statistics - Springer
- G. Casella and R. Berger - Statistical Inference - Duxbury
- C. Robert - The Bayesian Choice, Second Edition - Springer
- E. Lehmann - Theory of Point Estimation - Wiley
- E. Lehmann - Testing Statistical Hypotheses - Wiley
- J. Kadane - Principles of Uncertainty - CRC

## Website

The course website is
http://www.utstat.utoronto.ca/mikevans/sta3000/sta3000.html
## Assignments