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Description

Transformed Distributions for Improved MCMC Efficiency.

A collection of common univariate bounded probability distributions transformed to the unbounded real line, for the purpose of increased MCMC efficiency.

nimbleNoBounds

A collection of common bounded univariate probability distributions transformed to the unbounded real line. The idea is that, when posteriors fall close to the bounds of probability distribution, the efficiency of adaptive Metropolis-Hastings may be compromised by the bounds. In which case, sampling on the unbounded real line could provide more efficient sampling. The change of variables technique is used to identify equivalent distributions on the unbounded scale.

Metadata

Version

1.0.3

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
    NetBSD
    none
    OpenBSD
    Redox
    Solaris
    WASI
    Windows
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