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» BCA814
BCA814: Bayesian Statistical Methods |
Topics will include one-parameter models with conjugate prior distributions; standard models containing two or more parameters; the role of noninformative prior distributions; relationship between Bayesian methods and classical approaches to statistics; computational techniques for Bayesian analysis, especially the use of simulation from posterior distributions, using the WinBUGS package; Bayesian methods for fitting hierarchical models to complex data structures.
| Credit Points: | 4 |
| Contact Hours: | -- |
| When Offered: |
X1 - External study; Offered in the first half-year
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| Staff Contact: |
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| Prerequisites: |
(BCA801 and BCA802 and BCA805 and BCA808 and BCA809 and BCA817) or ((STAT271 and STAT272) or STAT371 or STAT810) and (STAT411 or STAT811))
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| Unit Designations: |
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| | Assessed As: |
Graded
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| Offered By: |
EFS - Division of Economic and Financial Studies |
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| Unit Web Pages |
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No web pages available.
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| Timetable |
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No timetable available.
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