Cover Image

Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hansen, Blake, Avalos-Pacheco, Alejandra, Russo, Massimiliano, De Vito, Roberta
Format:	Preprint
Published:	2023
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
by: Hansen, Blake, et al.
Published: (2025)

Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures
by: Hansen, Blake, et al.
Published: (2025)

A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics
by: Mavis Liang, et al.
Published: (2026)

Efficient Amortized Bayesian Inference for Markov Random Fields via Gradient-Informed Grid Selection
by: Bazahica, Laura, et al.
Published: (2026)

Sparse Bayesian Factor Models with Mass-Nonlocal Factor Scores
by: Huang, Yingjie, et al.
Published: (2024)

Bayesian Nonparametric Causal Inference for High-Dimensional Nutritional Data via Factor-Based Exposure Mapping
by: Zorzetto, Dafne, et al.
Published: (2026)

Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology
by: Roberta De Vito, et al.
Published: (2025)

Bayesian integrative factor analysis methods, with application in nutrition and genomics data
by: Liang, Mavis, et al.
Published: (2025)

Missing data imputation using a truncated Gaussian infinite factor model with application to metabolomics data
by: Finucane, Kate, et al.
Published: (2024)

Causal Inference for Latent Outcomes Learned with Factor Models
by: Landy, Jenna M., et al.
Published: (2025)

Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
by: Loyal, Joshua Daniel
Published: (2024)

Estimating Gaussian graphical models of multi-study data with Multi-Study Factor Analysis
by: Shutta, Katherine H., et al.
Published: (2022)

Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)

Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)

Profile Graphical Models
by: Avalos-Pacheco, Alejandra, et al.
Published: (2026)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)

Guided sequential ABC schemes for intractable Bayesian models
by: Picchini, Umberto, et al.
Published: (2022)

Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)

Multi-study factor regression model: an application in nutritional epidemiology
by: De Vito, Roberta, et al.
Published: (2023)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Enhancing Scalability in Bayesian Nonparametric Factor Analysis of Spatiotemporal Data
by: Cheng, Yifan, et al.
Published: (2023)

Fast Variational Boosting for Latent Variable Models
by: Gunawan, David, et al.
Published: (2025)

Generalized Bayesian Likelihood-Free Inference
by: Pacchiardi, Lorenzo, et al.
Published: (2021)

Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)

Variational Transdimensional Inference
by: Davies, Laurence, et al.
Published: (2025)

The Interplay between Bayesian Inference and Conformal Prediction
by: Deliu, Nina, et al.
Published: (2025)

Advances in Approximate Bayesian Inference for Models in Epidemiology
by: Li, Xiahui, et al.
Published: (2025)

Bayesian Stability Selection and Inference on Selection Probabilities
by: Nouraie, Mahdi, et al.
Published: (2024)

Bayesian Inference for Non-Synchronously Observed Diffusions
by: Jasra, Ajay, et al.
Published: (2025)

SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function
by: Wu, Dingbo, et al.
Published: (2025)

Bayesian Variational Inference for Mixed Data Mixture Models
by: Wang, Junyang, et al.
Published: (2025)

Variational approximate penalized credible regions for Bayesian grouped regression
by: Yu, Weichang, et al.
Published: (2026)

Inference for Diffusion Processes via Controlled Sequential Monte Carlo and Splitting Schemes
by: Huang, Shu, et al.
Published: (2025)

Fast and Scalable Inference for Spatial Extreme Value Models
by: Chen, Meixi, et al.
Published: (2021)

Constructing Level Sets Using Smoothed Approximate Bayesian Computation
by: Edwards, David, et al.
Published: (2024)

Bayesian Inference for Single-factor Graphical Models
by: Marcano, David, et al.
Published: (2025)

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
by: Ng, Kenyon, et al.
Published: (2024)

Generalized Bayesian Inference for Dynamic Random Dot Product Graphs
by: Loyal, Joshua Daniel
Published: (2025)

Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
by: Liu, Yang, et al.
Published: (2020)

bayesics: Core Statistical Methods via Bayesian Inference in R
by: Sewell, Daniel K., et al.
Published: (2026)