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Dec 26, 2024
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STAT 7135 - Statistical Computation
A survey of modern methods of computational statistics used for both theoretical research and practical applications, including resampling methods, Markov chain Monte Carlo simulations, numerical optimization, parallel computation, etc. Statistical computational methodology is first presented and then implemented in the R software. Each method is illustrated by using either real application or simulated data sets as examples. Students learn how to conduct simulation and real data analysis, how to make efficient codes in R for their research, and how to apply each method in practice.
Credit Hours: (3)
Prerequisite(s): STAT 5126 , STAT 5127 , or permission of the department
Cross-listed Course(s): STAT 8135
Schedule of Classes
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