Risultati ricerca autore :: Library Catalog

1

Heritage Book Collections in Australian Libraries: What Are They, Where Are They and Why Should We Care? Autoría: Stephens, Matthew

Pubblicazione 2009

Fuente: ERIC Institute of Education Sciences

Tipo de material: Recurso educativo Open Access

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2

"A Scientific Library of Some Value": An Early History of the Australian Museum Library Autoría: Stephens, Matthew

Pubblicazione 2007

Fuente: ERIC Institute of Education Sciences

Tipo de material: Recurso educativo Open Access

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3

Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls Autoría: Gerard, David, Stephens, Matthew

Pubblicazione 2017

Fuente: arXiv

Tipo de material: Preprint

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4

Empirical Bayes Shrinkage and False Discovery Rate Estimation, Allowing For Unwanted Variation Autoría: Gerard, David, Stephens, Matthew

Pubblicazione 2017

Fuente: arXiv

Tipo de material: Preprint

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5

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA Autoría: Kang, Joonsuk, Stephens, Matthew

Pubblicazione 2023

Fuente: arXiv

Tipo de material: Preprint

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6

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families Autoría: Willwerscheid, Jason, Carbonetto, Peter, Stephens, Matthew

Pubblicazione 2021

Fuente: arXiv

Tipo de material: Preprint

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7

Gradient-based optimization for variational empirical Bayes multiple regression Autoría: Banerjee, Saikat, Carbonetto, Peter, Stephens, Matthew

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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8

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression Autoría: Xie, Dongyue, Zhu, Wanrong, Stephens, Matthew

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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9

Empirical Bayes Shrinkage of Functional Effects, with Application to Analysis of Dynamic eQTLs Autoría: Zhang, Ziang, Carbonetto, Peter, Stephens, Matthew

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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10

Non-negative matrix factorization algorithms generally improve topic model fits Autoría: Carbonetto, Peter, Sarkar, Abhishek, Wang, Zihao, Stephens, Matthew

Pubblicazione 2021

Fuente: arXiv

Tipo de material: Preprint

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11

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression Autoría: Kim, Youngseok, Wang, Wei, Carbonetto, Peter, Stephens, Matthew

Pubblicazione 2022

Fuente: arXiv

Tipo de material: Preprint

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12

Improved methods for empirical Bayes multivariate multiple testing and effect size estimation Autoría: Yang, Yunqi, Carbonetto, Peter, Gerard, David, Stephens, Matthew

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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13

A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link Autoría: Weine, Eric, Carbonetto, Peter, Irizarry, Rafael A., Stephens, Matthew

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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14

Covariate-moderated Empirical Bayes Matrix Factorization Autoría: Denault, William R. P., Tayeb, Karl, Carbonetto, Peter, Willwerscheid, Jason, Stephens, Matthew

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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15

Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior Autoría: Yang, Yunqi, Tayeb, Karl, Carbonetto, Peter, Zhong, Xiaoyuan, Ober, Carole, Stephens, Matthew

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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16

A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data Autoría: Liu, Yusha, Carbonetto, Peter, Takahama, Michihiro, Gruenbaum, Adam, Xie, Dongyue, Chevrier, Nicolas, Stephens, Matthew

Pubblicazione 2022

Fuente: arXiv

Tipo de material: Preprint

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Heritage Book Collections in Australian Libraries: What Are They, Where Are They and Why Should We Care? Autoría: Stephens, Matthew

"A Scientific Library of Some Value": An Early History of the Australian Museum Library Autoría: Stephens, Matthew

Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls Autoría: Gerard, David, Stephens, Matthew

Empirical Bayes Shrinkage and False Discovery Rate Estimation, Allowing For Unwanted Variation Autoría: Gerard, David, Stephens, Matthew

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA Autoría: Kang, Joonsuk, Stephens, Matthew

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families Autoría: Willwerscheid, Jason, Carbonetto, Peter, Stephens, Matthew

Gradient-based optimization for variational empirical Bayes multiple regression Autoría: Banerjee, Saikat, Carbonetto, Peter, Stephens, Matthew

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression Autoría: Xie, Dongyue, Zhu, Wanrong, Stephens, Matthew

Empirical Bayes Shrinkage of Functional Effects, with Application to Analysis of Dynamic eQTLs Autoría: Zhang, Ziang, Carbonetto, Peter, Stephens, Matthew

Non-negative matrix factorization algorithms generally improve topic model fits Autoría: Carbonetto, Peter, Sarkar, Abhishek, Wang, Zihao, Stephens, Matthew

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression Autoría: Kim, Youngseok, Wang, Wei, Carbonetto, Peter, Stephens, Matthew

Improved methods for empirical Bayes multivariate multiple testing and effect size estimation Autoría: Yang, Yunqi, Carbonetto, Peter, Gerard, David, Stephens, Matthew

A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link Autoría: Weine, Eric, Carbonetto, Peter, Irizarry, Rafael A., Stephens, Matthew

Covariate-moderated Empirical Bayes Matrix Factorization Autoría: Denault, William R. P., Tayeb, Karl, Carbonetto, Peter, Willwerscheid, Jason, Stephens, Matthew

Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior Autoría: Yang, Yunqi, Tayeb, Karl, Carbonetto, Peter, Zhong, Xiaoyuan, Ober, Carole, Stephens, Matthew

A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data Autoría: Liu, Yusha, Carbonetto, Peter, Takahama, Michihiro, Gruenbaum, Adam, Xie, Dongyue, Chevrier, Nicolas, Stephens, Matthew

Risultati della ricerca - Stephens, Matthew

Heritage Book Collections in Australian Libraries: What Are They, Where Are They and Why Should We Care? Autoría: Stephens, Matthew

"A Scientific Library of Some Value": An Early History of the Australian Museum Library Autoría: Stephens, Matthew

Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls Autoría: Gerard, David, Stephens, Matthew

Empirical Bayes Shrinkage and False Discovery Rate Estimation, Allowing For Unwanted Variation Autoría: Gerard, David, Stephens, Matthew

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA Autoría: Kang, Joonsuk, Stephens, Matthew

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families Autoría: Willwerscheid, Jason, Carbonetto, Peter, Stephens, Matthew

Gradient-based optimization for variational empirical Bayes multiple regression Autoría: Banerjee, Saikat, Carbonetto, Peter, Stephens, Matthew

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression Autoría: Xie, Dongyue, Zhu, Wanrong, Stephens, Matthew

Empirical Bayes Shrinkage of Functional Effects, with Application to Analysis of Dynamic eQTLs Autoría: Zhang, Ziang, Carbonetto, Peter, Stephens, Matthew

Non-negative matrix factorization algorithms generally improve topic model fits Autoría: Carbonetto, Peter, Sarkar, Abhishek, Wang, Zihao, Stephens, Matthew

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression Autoría: Kim, Youngseok, Wang, Wei, Carbonetto, Peter, Stephens, Matthew

Improved methods for empirical Bayes multivariate multiple testing and effect size estimation Autoría: Yang, Yunqi, Carbonetto, Peter, Gerard, David, Stephens, Matthew

A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link Autoría: Weine, Eric, Carbonetto, Peter, Irizarry, Rafael A., Stephens, Matthew

Covariate-moderated Empirical Bayes Matrix Factorization Autoría: Denault, William R. P., Tayeb, Karl, Carbonetto, Peter, Willwerscheid, Jason, Stephens, Matthew

Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior Autoría: Yang, Yunqi, Tayeb, Karl, Carbonetto, Peter, Zhong, Xiaoyuan, Ober, Carole, Stephens, Matthew

A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data Autoría: Liu, Yusha, Carbonetto, Peter, Takahama, Michihiro, Gruenbaum, Adam, Xie, Dongyue, Chevrier, Nicolas, Stephens, Matthew

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