Compressing parameters in Bayesian high-order models with application to logistic sequence models
Work
Year: 2008
Type: article
Abstract: Bayesian classification and regression with high order interactions is largely infeasible because Markov chain Monte Carlo (MCMC) would need to be applied with a great many parameters, whose number in... more
Source: Bayesian Analysis
Authors Longhai Li, Radford M. Neal
Institutions University of Saskatchewan, University of Toronto
Cites: 21
Cited by: 6
Related to: 10
FWCI: 1.259
Citation percentile (by year/subfield): 80.15
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze