Erica Porter

Erica Porter is an Assistant Professor of Statistics at Clemson University's School of Mathematical and Statistical Sciences (SMSS). She holds a Ph.D. and M.S. in Statistics from Virginia Tech (2023 and 2019) and a B.S. in Mathematical Sciences from Clemson University (2017).

• Ph.D., Statistics, Virginia Tech, 2023
• M.S., Statistics, Virginia Tech, 2019
• B.S., Mathematical Sciences, Clemson University, 2017

Her research focuses on Bayesian statistical methods for spatial data analysis, including model selection techniques, computational algorithms, and applications to real-world problems. She has developed cost-penalized Bayesian approaches, worked with intrinsic conditional autoregressive (ICAR) priors, and contributed to scalable computation methods for hierarchical spatial models.

Erica's recent publications highlight her expertise in Bayesian model selection, spatial hierarchical modeling, and computational efficiency. Her work spans theoretical advancements and applied statistics, particularly in spatial epidemiology and cost-constrained data analysis.