Office:
Phone: (000) 000-0000
Website: https://twixson.github.io/
Education
- PhD Statistics, Colorado State University, anticipated May 2025
- MS Statistics, Colorado State University, 2022
- BS Mathematics, Colorado State University, 2020
About
Fifth year PhD Candidate
Currently working on:
Extreme Values: Developing a proxy-likelihood fitting method for analyses built on tail pairwise dependence (TPDF or TPDM depending on context).
Biostatistics: Hierarchical Bayesian modeling to probabilistically identify genes associated with of Parkinson's Disease
Forthcoming publications:
- Wixson T. P., Cooley D. (2024+). Neural Network for Asymptotic Dependence/Independence Classification: A Series of Experiments. (preprint available here) (submitted)
- Wixson T. P., Shaby, B. A., Philtron D. L., Lima L. A., Wyman S. K., Kaye J. A., Finkbeiner S. M. (2024+). A Three-groups Model for Combining Heterogeneous Data Sources to Identify Genetic Modifiers of Parkinson’s Disease. (preprint available here) (submitted)
- Cooley D., Sabourin A., Wixson T. P. (2024+). Principal Component Analysis for Multivariate Extremes. Submitted chapter to Handbook on Statistics of Extremes. CRC Press, Boca Raton. edited by de Carvalho M., Huser R., Naveau P., Reich B. J.
Teaching Experience:
- Teaching Assistant: Stat 204, Stat 301, Stat 305, Stat 460
- Instructor: Stat 204, Stat 301, Stat 31
Publications
- Attribution of Seasonal Wildfire Risk to Changes in Climate: A Statistical Extremes ApproachJournal of Applied Meteorology and Climatology, 2023