Peter Carbonetto

A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping

Gao Wang, Abhishek Sarkar, Peter Carbonetto et al. · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2020 · 1K citations · Full text

Polygenic Modeling with Bayesian Sparse Linear Mixed Models

Xiang Zhou, Peter Carbonetto, Matthew Stephens · PLoS Genetics · 2013 · 914 citations · Full text

Bayesian Statistic, Bayesian Statistics, Engineering +15

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions

Sarah Urbut, Gao Wang, Peter Carbonetto et al. · Nature Genetics · 2018 · 450 citations

Genome-wide Association Study, Genetic Analysis, Genetic Testing +14

Fine-mapping from summary data with the “Sum of Single Effects” model

Yuxin Zou, Peter Carbonetto, Gao Wang et al. · PLoS Genetics · 2022 · 373 citations · Full text

Engineering, Genetics, Single Effects +16

Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies

Peter Carbonetto, Matthew Stephens · Bayesian Analysis · 2012 · 297 citations · Full text

Bayesian Statistic, Markov Chain Monte Carlo, Genetic Association Studies +17