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10/03/2022
A flexible model for correlated count data, with application to analysis of gene expression differences in multi-condition experiments
Detecting differences in gene expression is an important part of RNA seq...
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08/23/2022
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
We introduce a new empirical Bayes approach for large-scale multiple lin...
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10/01/2021
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
The empirical Bayes normal means (EBNM) model plays an important role in...
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06/25/2021
Multi-scale Poisson process approaches for differential expression analysis of high-throughput sequencing data
Estimating and testing for differences in molecular phenotypes (e.g. gen...
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05/27/2021
Non-negative matrix factorization algorithms greatly improve topic model fits
We report on the potential for using algorithms for non-negative matrix ...
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01/30/2019
Empirical Bayes estimation of normal means, accounting for uncertainty in estimated standard errors
We consider Empirical Bayes (EB) estimation in the normal means problem,...
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12/18/2018
Solving the Empirical Bayes Normal Means Problem with Correlated Noise
The Normal Means problem plays a fundamental role in many areas of moder...
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06/04/2018
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming
Maximum likelihood estimation of mixture proportions has a long history ...
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02/20/2018
Empirical Bayes Matrix Factorization
Matrix factorization methods - including Factor analysis (FA), and Princ...
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09/19/2017