Likelihood theory: maximum likelihood, asymptotic theory, nuisance parameters, applications, likelihood ratio test, score tests, Wald tests, exponential family (properties: sufficiency, completeness). Confidence intervals, hypothesis tests. Baysian inference. Multivariate normal distribution & quadratic forms. Distributional results & inference for general linear model. -- Course Website
Instructor: Dr Dirk Kroese ([email protected])
