This is archived information!
Search current Handbook for current unit information.
Modern Computational Statistical Methods - STAT878
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 |
| When Offered: | E1 - Evening; Offered in Session 1, North Ryde X1 - External study; Offered in Session 1 |
| Staff Contact(s): | Associate Professor Andrzej Kozek, Associate Professor Jun Ma |
| Prerequisites: |
Admission to MAppStat or PGDipAppStat or PGCertAppStat |
| Corequisites: |
STAT810 or permission of Executive Dean of Faculty |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
For unit timetable information please visit the Timetables@Macquarie Website