Cover Image

Targeted empirical Bayes for more supervised joint factor analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Palmer, Glenn, Dunson, David B.
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Infinite joint species distribution models
by: Stolf, Federica, et al.
Published: (2024)

Semi-supervised empirical Bayes group-regularized factor regression
by: Münch, Magnus M., et al.
Published: (2021)

Identifiable and interpretable nonparametric factor analysis
by: Xu, Maoran, et al.
Published: (2023)

Spectral decomposition-assisted multi-study factor analysis
by: Mauri, Lorenzo, et al.
Published: (2025)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)

Bayesian Clustering via Fusing of Localized Densities
by: Dombowsky, Alexander, et al.
Published: (2023)

Product Centered Dirichlet Processes for Bayesian Multiview Clustering
by: Dombowsky, Alexander, et al.
Published: (2023)

Factor pre-training in Bayesian multivariate logistic models
by: Mauri, Lorenzo, et al.
Published: (2024)

Spatial meshing for general Bayesian multivariate models
by: Peruzzi, Michele, et al.
Published: (2022)

Learning discrete Bayesian networks with hierarchical Dirichlet shrinkage
by: Dombowsky, Alexander, et al.
Published: (2025)

Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., et al.
Published: (2024)

Nonparametric predictive inference for discrete data via Metropolis-adjusted Dirichlet sequences
by: Agnoletto, Davide, et al.
Published: (2025)

On the Posterior Computation Under the Dirichlet-Laplace Prior
by: Onorati, Paolo, et al.
Published: (2025)

Bayesian Latent Class Regression with Interpretable Binary Profiles
by: Zhou, Yuren, et al.
Published: (2025)

Bayesian Deep Generative Models for Multiplex Networks with Multiscale Overlapping Clusters
by: Zhou, Yuren, et al.
Published: (2024)

Inference on covariance structure in high-dimensional multi-view data
by: Mauri, Lorenzo, et al.
Published: (2025)

Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)

Using prior information to boost power in correlation structure support recovery
by: Ding, Ziyang, et al.
Published: (2021)

Exact Sampling of Spanning Trees via Fast-forwarded Random Walks
by: Tam, Edric, et al.
Published: (2024)

Blessing of dimension in Bayesian inference on covariance matrices
by: Chattopadhyay, Shounak, et al.
Published: (2024)

Bayesian modeling of nearly mutually orthogonal processes
by: Matuk, James, et al.
Published: (2022)

Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes
by: Jin, Bora, et al.
Published: (2021)

Bayesian Level Set Clustering
by: Buch, David, et al.
Published: (2024)

Sequential Gibbs Posteriors with Applications to Principal Component Analysis
by: Winter, Steven, et al.
Published: (2023)

Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
by: Zito, Alessandro, et al.
Published: (2023)

A Bayesian theory for estimation of biodiversity
by: Rigon, Tommaso, et al.
Published: (2025)

Improved methods for empirical Bayes multivariate multiple testing and effect size estimation
by: Yang, Yunqi, et al.
Published: (2024)

Efficient Bayesian Inference for Discretely Observed Continuous Time Markov Chains
by: Tang, Tao, et al.
Published: (2025)

Uncertainty Quantification in Bayesian Clustering
by: Page, Garritt L., et al.
Published: (2025)

Nearest Neighbor Dirichlet Mixtures
by: Chattopadhyay, Shounak, et al.
Published: (2020)

Asymptotic and compound e-values: multiple testing and empirical Bayes
by: Ignatiadis, Nikolaos, et al.
Published: (2024)

Robust local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)

Scalable and robust regression models for continuous proportional data
by: Lee, Changwoo J., et al.
Published: (2025)

Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies
by: Jiang, Wei, et al.
Published: (2016)

Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)

Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024)

Local graph estimation with pathwise false discovery control
by: Melikechi, Omar, et al.
Published: (2025)

Feature aware covariance estimation, with application to mixtures of chemical exposures
by: Bersson, Elizabeth, et al.
Published: (2025)

Nonparametric IPSS: Fast, flexible feature selection with false discovery control
by: Melikechi, Omar, et al.
Published: (2024)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
by: Chandra, Noirrit Kiran, et al.
Published: (2023)