# STAC58H - Statistical Inference

The course surveys the various approaches that have been considered
for the development of a theory of statistical reasoning. These include
likelihood methods, Bayesian methods and frequentism. These are
compared with respect to their strengths and weaknesses.

The correctness of a statistical argument is based entirely on the
theory that provides the justification for the approach taken.
The course will address the issue of whether or not a sound theory can
be developed and, if so, what characteristics it possesses.

To use statistics successfully requires a clear understanding
of the meaning of various concepts such as likelihood, confidence,
p-value, belief, etc. This is the purpose of the course.

## Timetable

MO 11:00-12:00 MW160

WE 10:00-12:00 IC230

## Announcements

## Office Hours

After class on Monday and Wednesday 12-2.

## Evaluation

Four assignments worth a total of 50% and a final sit-down exam
worth 50%.

## References

The following texts will be used in the course.
- Probability and Statistics; The Science of Uncertainty by
M. Evans and J. Rosenthal -
this is the text used for STAB52F/B57S and we will be focusing
on chapters 6, 7, 8 and 9 but only some this will be review.
- Measuring Statistical Evidence Using Relative Belief by M. Evans -
readings will be assigned from this book.

## Website

The course website is
http://www.utstat.utoronto.ca/mikevans/stac58/stac58.html
## Assignments

## Past Exams