Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings-Reference-Cited by-同舟云学术

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

Published:2024-07-17 Issue: Volume: Page:1-13
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Hansen Blake¹^ORCID,Avalos-Pacheco Alejandra²³^ORCID,Russo Massimiliano⁴^ORCID,De Vito Roberta¹⁵

Affiliation:

1. Department of Biostatistics, Brown University, Providence, RI

2. Applied Statistics Research Unit, TU Wien, Vienna, Austria

3. Harvard-MIT Center for Regulatory Science, Harvard Medical School, Boston, MA

4. Department of Statistics, The Ohio State University, Columbus, OH

5. Data Science Institute, Brown University, Providence, RI

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2356173

Reference56 articles.

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3. Heterogeneous Large Datasets Integration Using Bayesian Factor Regression

4. THE STATISTICAL CONCEPTION OF MENTAL FACTORS

5. Bastian, M., Heymann, S., and Jacomy, M. (2009), “Gephi: An Open Source Software for Exploring and Manipulating Networks,” in International AAAI Conference on Weblogs and Social Media.

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