Fast variational inference for Bayesian factor analysis in single and multi-study settings
B Hansen, A Avalos-Pacheco, M Russo… - … of Computational and …, 2024 - Taylor & Francis
Factors models are commonly used to analyze high-dimensional data in both single-study
and multi-study settings. Bayesian inference for such models relies on Markov Chain Monte …
and multi-study settings. Bayesian inference for such models relies on Markov Chain Monte …
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
B Hansen, A Avalos-Pacheco, M Russo… - arXiv preprint arXiv …, 2023 - arxiv.org
Factors models are routinely used to analyze high-dimensional data in both single-study
and multi-study settings. Bayesian inference for such models relies on Markov Chain Monte …
and multi-study settings. Bayesian inference for such models relies on Markov Chain Monte …
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
B Hansen, A Avalos-Pacheco, M Russo… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Factors models are routinely used to analyze high-dimensional data in both single-study
and multi-study settings. Bayesian inference for such models relies on Markov Chain Monte …
and multi-study settings. Bayesian inference for such models relies on Markov Chain Monte …