Erica M. Porter

Erica M. Porter is an Assistant Professor of Statistics at the School of Mathematical and Statistical Sciences (SMSS), Clemson University. Her academic journey includes a Ph.D. in Statistics from Virginia Tech (2023), advised by Dr. Chris Franck and Dr. Marco Ferreira.

• Education:
  • Ph.D. in Statistics (2023), Virginia Tech

Her research focuses on Spatial Statistics, Bayesian Model Selection, and computational methods for hierarchical models. She specializes in intrinsic conditional autoregressive (ICAR) priors and data augmentation techniques for spatial and pooled data applications.

Recent publications highlight her work in cost-penalized Bayesian modeling, scalable computation for spatial hierarchies, and applications in medical diagnostics (e.g., heart disease diagnosis). Key keywords include Bayesian inference, spatial modeling, computational efficiency, and statistical software development.