Bayesian Variable Selection in Linear Regression
PulseAugur coverage of Bayesian Variable Selection in Linear Regression — every cluster mentioning Bayesian Variable Selection in Linear Regression across labs, papers, and developer communities, ranked by signal.
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New Prior-Data Fitted Networks Enhance Bayesian Variable Selection
Researchers have introduced Prior-data fitted networks (PFNs), a novel approach for Bayesian variable selection in statistical modeling. Two specific PFN variants, CD-PFN and PC-PFN, are detailed for identifying conditi…
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SelectPFN advances Bayesian variable selection for sparse nonlinear regression
Researchers have developed SelectPFN, a novel Prior-Data Fitted Network (PFN) capable of performing Bayesian variable selection and prediction simultaneously for sparse nonlinear regression. This new model can identify …
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New framework enhances factor analysis with Bayesian variable selection
Researchers have developed a new framework for assessing and selecting the number of factors in partially exploratory factor analysis (PEFA) using variational Bayesian variable selection. This method, termed PCFA VA, em…