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Modern Computational Statistical Methods - STAT778
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, R and WinBUGS are used.
| Credit Points: | 4 |
| When Offered: | S1 Evening - Session 1, North Ryde, Evening |
| Staff Contact(s): | Associate Professor Jun Ma |
| Prerequisites: |
Admission to MRes |
| Corequisites: | |
| NCCW(s): | STAT878 |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
For unit timetable information and session dates for external offerings please visit the Timetables@Macquarie Website.