com.cra.figaro.algorithm.sampling

MetropolisHastings

object MetropolisHastings

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  6. def apply(numSamples: Int, scheme: ProposalScheme, burnIn: Int, interval: Int, targets: Element[_]*)(implicit universe: Universe): OneTimeMetropolisHastings

    Create a one-time Metropolis-Hastings sampler using the given number of samples, proposal scheme, number of burn-in samples, and interval between samples with the given target query elements.

  7. def apply(scheme: ProposalScheme, burnIn: Int, interval: Int, targets: Element[_]*)(implicit universe: Universe): AnytimeMetropolisHastings

    Create an anytime Metropolis-Hastings sampler using the given proposal scheme, number of burn-in samples, and interval between samples with the given target query elements.

  8. def apply(numSamples: Int, scheme: ProposalScheme, burnIn: Int, targets: Element[_]*)(implicit universe: Universe): OneTimeMetropolisHastings

    Create a one-time Metropolis-Hastings sampler using the given number of samples, proposal scheme, and number of burn-in samples with the given target query elements.

  9. def apply(scheme: ProposalScheme, burnIn: Int, targets: Element[_]*)(implicit universe: Universe): AnytimeMetropolisHastings

    Create an anytime Metropolis-Hastings sampler using the given proposal scheme and number of burn-in samples with the given target query elements.

  10. def apply(numSamples: Int, scheme: ProposalScheme, targets: Element[_]*)(implicit universe: Universe): OneTimeMetropolisHastings

    Create a one-time Metropolis-Hastings sampler using the given number of samples and proposal scheme with the given target query elements.

  11. def apply(scheme: ProposalScheme, targets: Element[_]*)(implicit universe: Universe): AnytimeMetropolisHastings

    Create an anytime Metropolis-Hastings sampler using the given proposal scheme with the given target query elements.

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