Matthew Stephens
18 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0001-5397-9257
Publications
- Multiscale Poisson process approaches for detecting and estimating differences from high-throughput sequencing assays — The Annals of Applied Statistics 2024
- A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- A flexible model for correlated count data, with application to multicondition differential expression analyses of single-cell RNA sequencing data — The Annals of Applied Statistics 2024
- Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” — Journal of the American Statistical Association 2022
- Empirical Bayes Matrix Factorization — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- A simple new approach to variable selection in regression, with application to genetic fine mapping — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
- Bayesian large-scale multiple regression with summary statistics from genome-wide association studies — The Annals of Applied Statistics 2017
- Wavelet-based genetic association analysis of functional phenotypes arising from high-throughput sequencing assays — The Annals of Applied Statistics 2015
- Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene–environment interactions — The Annals of Applied Statistics 2014
- A likelihood-based scoring method for peptide identification using mass spectrometry — The Annals of Applied Statistics 2012
- Bayesian variable selection regression for genome-wide association studies and other large-scale problems — The Annals of Applied Statistics 2011 (name-matched, not ORCID-linked)
- Using linear predictors to impute allele frequencies from summary or pooled genotype data — The Annals of Applied Statistics 2010 (name-matched, not ORCID-linked)
- A nested mixture model for protein identification using mass spectrometry — The Annals of Applied Statistics 2010 (name-matched, not ORCID-linked)
- Statistical inference of transmission fidelity of DNA methylation patterns over somatic cell divisions in mammals — The Annals of Applied Statistics 2010
- Dealing with label switching in mixture models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2000
- Bayesian analysis of mixture models with an unknown number of components—an alternative to reversible jump methods — The Annals of Statistics 2000
- Inference in molecular population genetics — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2000