Matthew Stephens

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression.
CoRR
Dongyue Xie, Wanrong Zhu, Matthew Stephens
2026 J jnl
A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link.
CoRR
Eric Weine, Peter Carbonetto, Rafael A. Irizarry, Matthew Stephens
2025 J jnl
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J. Stat. Softw.
Jason Willwerscheid, Peter Carbonetto, Matthew Stephens
2024 J jnl
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression.
J. Mach. Learn. Res.
Youngseok Kim, Wei Wang, Peter Carbonetto, Matthew Stephens
2024 J jnl
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca.
Bioinform.
Eric Weine, Peter Carbonetto, Matthew Stephens
2021 J jnl
Empirical Bayes Matrix Factorization.
J. Mach. Learn. Res.
Wei Wang, Matthew Stephens
2021 J jnl
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage.
J. Mach. Learn. Res.
Zhengrong Xing, Peter Carbonetto, Matthew Stephens
2021 J jnl
Non-negative matrix factorization algorithms greatly improve topic model fits.
CoRR
Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens
2019 J jnl
Creating and sharing reproducible research code the workflowr way.
F1000Research
John D. Blischak, Peter Carbonetto, Matthew Stephens
2019 J jnl
Inference and visualization of DNA damage patterns using a grade of membership model.
Bioinform.
Hussein Al-Asadi, Kushal K. Dey, John Novembre, Matthew Stephens
2018 J jnl
A new sequence logo plot to highlight enrichment and depletion.
BMC Bioinform.
Kushal K. Dey, Dongyue Xie, Matthew Stephens
2016 J jnl
Variance adaptive shrinkage (
Bioinform.
Mengyin Lu, Matthew Stephens
2007 J jnl
msHOT: modifying Hudson's ms simulator to incorporate crossover and gene conversion hotspots.
Bioinform.
Garrett Hellenthal, Matthew Stephens