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COMPUTATIONAL STATISTICS

STAT 771
Course Description

Statistical inference from the perspective of computation. Statistical problems include data reduction, parameter estimation, hypothesis testing, prediction, statistical modeling, and both Bayesian and non-Bayesian inference. Computational issues include algorithms for model fitting (optimization), computing standard errors, calculating various model properties (integration), as well as systems to organize and manage data and to deploy computations.

Prerequisties

Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.7

2.1% from Historical

Completion Rate
100%

No change from Historical

A Rate
60.87%

9.25% from Historical

Class Size
23

-1.43% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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