Computational Statistics
Computational statistics concerns the development and use of computer algorithms to provide numerical solutions to problems in statistics that are analytically difficult or intractable. Some problems to which computational statistics is applied include optimization, resampling methods, numerical integration, and the simulation of random variables or processes.
Timothy R. Johnson
Interim Associate Chair and Professor
Brink Hall 417
208-885-2928
Research: Bayesian Statistics, Choice and Ranking Data, Missing Data, Simulation-Based Inferential Methods, Statistical Disclosure Control
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Tiantian Yang
Assistant Professor
Brink Hall 416
Research: Applied Statistics, Biostatistics and Genetics, and Data Science. View Tiantian Yang's profile