Estimating statistical distributions using an integral identity

dc.citation.articleNumber204113en_US
dc.citation.issueNumber20en_US
dc.citation.journalTitleThe Journal of Chemical Physicsen_US
dc.citation.volumeNumber136en_US
dc.contributor.authorZhang, Chengen_US
dc.contributor.authorMa, Jianpengen_US
dc.contributor.orgApplied Physics Programen_US
dc.date.accessioned2017-05-03T19:58:19Zen_US
dc.date.available2017-05-03T19:58:19Zen_US
dc.date.issued2012en_US
dc.description.abstractWe present an identity for an unbiased estimate of a general statistical distribution. The identity computes the distribution density from dividing a histogram sum over a local window by a correction factor from a mean-force integral, and the mean force can be evaluated as a configuration average. We show that the optimal window size is roughly the inverse of the local mean-force fluctuation. The new identity offers a more robust and precise estimate than a previous one by Adib and Jarzynski [J. Chem. Phys. 122, 014114 (2005)]10.1063/1.1829631. It also allows a straightforward generalization to an arbitrary ensemble and a joint distribution of multiple variables. Particularly we derive a mean-force enhanced version of the weighted histogram analysis method. The method can be used to improve distributions computed from molecular simulations. We illustrate the use in computing a potential energy distribution, a volume distribution in a constant-pressure ensemble, a radial distribution function, and a joint distribution of amino acid backbone dihedral angles.en_US
dc.identifier.citationZhang, Cheng and Ma, Jianpeng. "Estimating statistical distributions using an integral identity." <i>The Journal of Chemical Physics,</i> 136, no. 20 (2012) American Institute of Physics: https://doi.org/10.1063/1.4721638.en_US
dc.identifier.doihttps://doi.org/10.1063/1.4721638en_US
dc.identifier.urihttps://hdl.handle.net/1911/94149en_US
dc.language.isoengen_US
dc.publisherAmerican Institute of Physicsen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.titleEstimating statistical distributions using an integral identityen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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