STAT536

Bayesian Inference

This paper extends material taught in STAT326 and studies advanced topics in Bayesian methods, including advanced MCMC methods, sequential MC methods, non-MCMC methods, and theoretical foundations of Bayesian inference.

STAT536 - 18B (HAM)

30.0 Points

This paper extends material taught in STAT326 and studies advanced topics in Bayesian methods, including advanced MCMC methods, sequential MC methods, non-MCMC methods, and theoretical foundations of Bayesian inference.

Prerequisite(s): Admission is at the discretion of the Chairperson of Department.

Restriction(s): STAT326

Internal assessment/examination ratio: 2:1

Timetabled Lectures

The Timetable for 2018 is not available.

Indicative Fees

Fees for 2018 are not yet available.

Paper Outlines

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Available Subjects:  Statistics | Data Analytics

Other available years: Bayesian Inference - STAT536 (2017)

Paper details current as of : 13 September 2017 5:00pm
Indicative fees current as of : 20 September 2017 4:30am

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