2010 Course Handbook
STAT878: Modern Computational Statistical Methods
This unit offers students the opportunity to study some modern computational methods in statistics. The first half of the unit covers maximum likelihood computations, Bayesian computations using Monte Carlo methods, missing data and the EM algorithm. The second half considers non-parametric curve estimation. The computing software MATLAB and S-plus are used.
| Credit Points: | 4 |
| Contact Hours: | -- |
| When Offered: |
E1 - Evening; Offered in the first half-year
X1 - External study; Offered in the first half-year (On Campus session: No session) |
| Staff Contact: | Associate Professor Andrzej Kozek, Dr Jun Ma |
| Prerequisites: | |
| Corequisites: | STAT810 or STAT371 or permission of Executive Dean of Faculty |
| NCCWs: | |
| Unit Designations: | Commerce |
| Assessed As: | Graded |
| Offered By: |
Department of Statistics Faculty of Science |