Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media. - Herbert K. H. Lee; David M. Higdon; Zhuoxin Bi; Marco A. R. Ferreira; Mike West (Technometrics, 2002)

Model Selection for a Class of Spatio-temporal Models for Areal Data. - Juan C. Vivar; Marco A. R. Ferreira (GEOINFO, 2007)

Bayesian hierarchical multi-subject multiscale analysis of functional MRI data. - Nilotpal Sanyal; Marco A. R. Ferreira (NeuroImage, 2012)

Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model. - Jing Xie 008; Tieming Ji; Marco A. R. Ferreira; Yahan Li; Bhaumik N. Patel; Rocio M. Rivera (BMC Bioinform., 2019)

Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects. - Marco A. R. Ferreira; Erica M. Porter; Christopher T. Franck (Comput. Stat. Data Anal., 2021)

BICOSS: Bayesian iterative conditional stochastic search for GWAS. - Jacob Williams; Marco A. R. Ferreira; Tieming Ji (BMC Bioinform., 2022)

BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies. - Jacob Williams; Shuangshuang Xu; Marco A. R. Ferreira (BMC Bioinform., 2023)

BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data. - Shuangshuang Xu; Jacob Williams; Marco A. R. Ferreira (BMC Bioinform., 2023)