Applied Statistics
Applied statistics focuses on applying statistical theories to solving real-world problems, through data collection, processing, analysis and interpretation. It involves design of experiments and surveys, and development of statistical models, methodologies and computational tools.
Paul Hohenlohe
Professor, Director, Bioinformatics and Computational Biology Graduate Program
Timothy R. Johnson
Department 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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Chris Remien
Associate Professor
Brink Hall 420
208-885-5901
Research: Mathematical Biology, Bioinformatics, and Computational Biology
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Tiantian Yang
Assistant Professor
Brink Hall 416
Research: Mathematical Statistics and Statistical Learning View Tiantian Yang's profile
Fan Yi
Assistant Professor
Brink 414
352-745-4977
Research: Image Monitoring, Statistical Process Control (SPC)