Peer-reviewed Papers 

Porter E.M., Franck C.T., Adams S. Flexible cost-penalized Bayesian model selection: Developing inclusion paths with an application to diagnosis of heart disease. Statistics in Medicine. 2024; 43(16): 3073-3091.  http://doi.org/10.1002/sim.10113

Porter, E.M., Franck, C.T. & Ferreira, M.A.R. (2023) Objective Bayesian model selection for spatial hierarchical models with intrinsic conditional autoregressive priors. Bayesian Analysis. Advance Publication 1 - 27. https://doi.org/10.1214/23-BA1375

Xu, S., Ferreira, M.A.R., Porter, E.M., & Franck, C.T. (2023) Bayesian model selection for generalized linear mixed models. Biometrics, 79, 3266– 3278. https://doi.org/10.1111/biom.13896

Ferreira, M.A.R., Porter, E.M., & Franck, C.T. (2021) Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects. Computational Statistics and Data Analysis, 162, 107264. https://doi.org/10.1016/j.csda.2021.107264

Porter, E.M., McMahan, C.S., Tebbs, J.M., & Bilder, C.R. Gradient boosting for group testing data.  In preparation.

Other Publications

Porter, E.M., Franck, C.T., and Ferreira, M.A.R. (2024). Gaussian Spatial Hierarchical Models with ICAR Priors. In Ferreira, M.A.R. (ed.), Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models. CRC Press.