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Gemma Moran
Gemma Moran
Assistant Professor of Statistics, Rutgers University
Verifisert e-postadresse på stat.rutgers.edu - Startside
Tittel
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Identifiable deep generative models via sparse decoding
GE Moran, D Sridhar, Y Wang, DM Blei
Transactions on Machine Learning Research, 2022
58*2022
Spike-and-slab group lassos for grouped regression and sparse generalized additive models
R Bai, GE Moran, JL Antonelli, Y Chen, MR Boland
Journal of the American Statistical Association 117 (537), 184-197, 2022
552022
Variance prior forms for high-dimensional Bayesian variable selection
GE Moran, V Ročková, EI George
Bayesian Analysis, 1091-1119, 2019
49*2019
Spike-and-slab lasso biclustering
GE Moran, V Ročková, EI George
Annals of Applied Statistics 15 (1), 148-173, 2021
232021
Holdout predictive checks for Bayesian model criticism
GE Moran, DM Blei, R Ranganath
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024
9*2024
Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models
V Shekar, V Yu, BJ Garcia, DB Gordon, GE Moran, DM Blei, LM Roch, ...
62022
SSLASSO: The Spike-and-Slab LASSO
V Rocková, G Moran
URL https://cran. r-project. org/package= SSLASSO 1, 25, 2017
62017
Determinantal regularization for ensemble variable selection
V Rocková, G Moran, E George
Artificial Intelligence and Statistics, 1105-1113, 2016
52016
The posterior predictive null
GE Moran, JP Cunningham, DM Blei
Bayesian Analysis 18 (4), 1071-1097, 2023
42023
Bayesian approaches for modeling variation
GE Moran
University of Pennsylvania, 2019
12019
Theory for Gaussian Variational Approximation of Bayesian Generalised Linear Models
G Moran
2013
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Artikler 1–11