@techreport{3a976907a93e4e46b75492504bbf3567,
title = "Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities",
keywords = "Automatic Relevance Determination, Bayesian model choice, cross-validation, expected utility, Gaussian processes, input variable selction, MLP neural networks, variable dimension Markov chain Monte Carlo, Automatic Relevance Determination, Bayesian model choice, cross-validation, expected utility, Gaussian processes, input variable selction, MLP neural networks, variable dimension Markov chain Monte Carlo, Automatic Relevance Determination, Bayesian model choice, cross-validation, expected utility, Gaussian processes, input variable selction, MLP neural networks, variable dimension Markov chain Monte Carlo",
author = "Aki Vehtari and Jouko Lampinen",
year = "2002",
language = "English",
series = "Helsinki University of Technology, Laboratory of Computational Engineering publications. Report B",
number = "B31",
type = "WorkingPaper",
}