Deborah Kunkel

O-Martin 113

School of Mathematical and Statistical Sciences

I joined Clemson in August 2018 as an assistant professor of applied statistics and data science in the School of Mathematical and Statistical Sciences. I graduated from The Ohio State University in 2018 with a PhD in Statistics, advised by Mario Peruggia. My research interests include Bayesian statistical methodology, mixture models, clustering, hierarchical models, and applications in cognitive psychology and social sciences.


Papers:

Kunkel, D. and Peruggia, M. Statistical inference with anchored Bayesian mixture of regressions models: A case study analysis of allometric data. arXiv, (2019).

Kunkel, D., Potter, K., Craigmile, P.F, Peruggia, M., and Van Zandt, T. A Bayesian race model for response times under cyclic stimulus discriminability. Annals of Applied Statistics, 13, 271-296 (2019).

Kunkel, D. and Peruggia, M. Anchored Bayesian Gaussian Mixture Models. arXiv, (2018).

Kunkel D. and Kaizar E. A comparison of existing methods for multiple imputation in individual participant data meta-analysis. Statistics in Medicine, 36, 3507-3532 (2017).


Teaching:

STAT 8010, Statistical Methods I, Fall 2018, Spring 2019, Fall 2019.

STAT 8420, Intro to Statistical Methods, Summer 2019.

STAT 4020/6020, Statistical Computing , Fall 2018.


Collaboration:

I am always interested in collaborating on interdisciplinary projects. Please reach out if you'd like a statistical addition to your research team.

Fall 2019 Statistics Reading group.

Spring 2019 Statistics Reading group.