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Overview
Mathematics & Statistics (Sci) : Conditional probability and Bayes鈥� Theorem, discrete and continuous univariate and multivariate distributions, conditional distributions, moments, independence of random variables. Modes of convergence, weak law of large numbers, central limit theorem. Point and interval estimation. Likelihood inference. Bayesian estimation and inference. Hypothesis testing.
Terms: Fall 2019
Instructors: McVittie, James; Hurtubise, Jacques Claude (Fall)
