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Overview

This postgraduate course presents general inference theory based on maximum likelihood and on Bayes methods. Estimation, confidence set construction, and hypothesis testing are discussed within decision-theoretic framework. Computationally intensive methods such as bootstrap are also discussed and are compared to asymptotic approximations such as saddlepoint and empirical likelihood. Pre-requisites: 24 … For more content click the Read More button below.

Delivery

In-person - Standard (usually weekly or fortnightly)

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)