MATH 534 - Statistical Computing (3)

Numerical methods in linear and nonlinear regression including Gauss-Jordan, QR, and Gauss-Newton algorithms. Maximum likelihood computation, including Newton, Fisher-scoring, quasi-Newton, and EM algorithms. Bayesian computations, including numerical integration, Monte-Carlo integration, and Markov chain Monte Carlo. Nonparametric inference including Bootstrap.

Prerequisites: MATH 320, CPSC 120 or CPSC 121; or MATH 530.

Graduate-level

One or more sections may be offered in any online format.