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Quasi-Newton Methods for Markov Chain Monte Carlo Yichuan Zhang and Charles Sutton School of Informatics University of Edinburgh ,
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Document Date: 2011-10-28 12:40:17

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File Size: 309,96 KB

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City

Hessian / Springer-Verlag / /

Company

Gaussian / Monte Carlo / CRC Press / /

Country

Barbados / /

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Facility

Informatics University / /

IndustryTerm

leapfrog algorithm / recursive algorithm / energy function / kinetic energy / optimization algorithm / inner products / potential energy / matrix vector product / correct adaptive algorithm / energy / /

Organization

Royal Statistical Society / American Statistical Association / Charles Sutton School / University of Edinburgh / Informatics University / /

Person

Min Mean Max Time / Mark Girolami / /

Position

Statistician / expected Fisher information matrix / /

Product

Hk / Hamiltonian / /

ProgrammingLanguage

Java / /

ProvinceOrState

New York / /

PublishedMedium

Journal of the Royal Statistical Society / Journal of the American Statistical Association / Journal of Econometrics / /

Technology

random walk Metropolis-Hastings algorithm / Metropolis-Hastings algorithm / leapfrog algorithm / sms / Metropolis Hastings algorithm / artificial intelligence / Java / high 4 Algorithm / correct adaptive algorithm / http / simulation / html / two-loop recursive algorithm / FGS algorithm / adaptive Metropolis algorithm / M-H algorithm / optimization algorithm / /

URL

http /

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