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Apr 20, 2024
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MATH 5530 - Statistical Computing
Introduction to computational statistics; Monte Carlo methods, bootstrap, data partitioning methods, EM algorithm, probability density estimation, Markov Chain Monte Carlo methods.
Requisites: MATH 5500
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Conduct data analysis using one or more major statistical models.
- Generate distributions by various methods.
- Use computer-intensive method for estimation and hypotheses testing.
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