Bayesian Input Variable Selection Using Posterior Probabilities and Expected Utilities

    Research output: Working paperProfessional

    Original languageEnglish
    Place of PublicationEspoo
    Publication statusPublished - 2002
    MoE publication typeD4 Published development or research report or study

    Publication series

    NameHelsinki University of Technology, Laboratory of Computational Engineering publications. Report B


    • Automatic Relevance Determination
    • Bayesian model choice
    • cross-validation
    • expected utility
    • Gaussian processes
    • input variable selction
    • MLP neural networks
    • variable dimension Markov chain Monte Carlo

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