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Fall 2017
Apr 26, 2024
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CSI 672 - Statistical Inference
Fundamental principles of estimation and hypothesis testing. Topics include limiting distributions and stochastic convergence, sufficient statistics, exponential families, statistical decision theory and optimality for point estimation, Bayesian methods, maximum likelihood, asymptotic results, interval estimation, optimal tests of statistical hypotheses, and likelihood ratio tests.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate, Non-Degree, Undergraduate, Washington Consortium
Schedule Types: Lecture

Computational & Data Sciences Department

Course Attributes:
Graduate - First


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