Current MSCS Graduate Courses ( Spring 2020, Fall 2020, Spring 2021 )

Spring 2020

STAT 502

Probability Theory II (Cheng Ouyang)
PREREQUISITES:
STAT 501.
DESCRIPTION:
Radon-Nikodym theorem, conditional expectations, martingales, stationary processes, ergodic theorem, stationary Gaussian processes, Markov chains, introduction to stochastic processes, Brownian motions.

STAT 511

Advanced Statistical Theory I (Yichao Wu)
PREREQUISITES:
STAT 411.
DESCRIPTION:
Statistical models, criteria of optimum estimation, large sample theory, optimum tests and confidence intervals, best unbiased tests in exponential families, invariance principle, likelihood ratio tests.

STAT 535

Optimal Design Theory I (Min Yang)
PREREQUISITES:
Stat 521.
DESCRIPTION:
Gauss-Markov theorem, optimality criteria, optimal designs for 1-way, 2-way elimination of heterogeneity models, repeated measurements, treatment-control; Equivalence theorem, approximate designs for polynomial-regression.

STAT 591

Advanced Topics in Statistics, Probability, and Operations Research (Jing Wang)
PREREQUISITES:
Statistics 521
DESCRIPTION:
Topics to include: Generalized Linear Models, Logistic Regression, Poisson Regression, Deviance, Generalized Estimation Equation, Quasi-likelihood Estimation, Kernel and Spline Smoothing, Generalized Additive Models, Effective Degrees of Freedom, Fisher Scoring, and Mixed Effect Models.

Fall 2020

Courses for this term have not been posted yet.

Spring 2021

Courses for this term have not been posted yet.
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