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Hyperparameter / Markov chain Monte Carlo / Statistics / Bayesian statistics / Normal distribution


Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models Yichuan Zhang School of Informatics University of Edinburgh
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Document Date: 2014-11-07 12:03:01

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File Size: 730,65 KB

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Company

Information Processing Systems / Neural Information Processing Systems / Cambridge University Press / Monte Carlo / /

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Facility

Cambridge University / Informatics University / Informatics University of Edinburgh c.sutton@inf.ed.ac.uk Abstract Sampling / /

IndustryTerm

e-prints / leapfrog algorithm / energy variation / kinetic energy / energy preservation property / wider energy variation / potential energy / greater potential energy / non-separable systems / generalized leapfrog integrator / computing / potential and kinetic energy / energy / /

Organization

Cambridge University / Royal Statistical Society / Bayesian Hierarchical Models Yichuan Zhang School / University of Edinburgh / Informatics University / /

Person

Semi-Separable Hamiltonian / HMC RMHMC / /

Position

model / Fisher Information Matrix / ArTφGeneral / rT / General / /

Product

Gx / /

PublishedMedium

Journal of the Royal Statistical Society / Machine Learning / Journal of Machine Learning Research / The Review of Economic Studies / /

Technology

leapfrog algorithm / sms / neural network / http / machine learning / simulation / Hastings algorithms / 4.2 Alternating Block-wise Leapfrog Algorithm / ABLA algorithm / /

URL

http /

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