Divide and Conquer: A Mixture-Based Approach to Regional Adaptation for MCMC

Author： Bai Yan   Craiu Radu V.   Di Narzo Antonio F.  

Publisher： Taylor & Francis Ltd

ISSN： 1061-8600

Source： Journal of Computational and Graphical Statistics, Vol.20, Iss.1, 2011-01, pp. : 63-79

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A divide-and-conquer algorithm for the eigendecomposition of symmetric block-diagonal plus semiseparable matrices

By Chandrasekaran S.   Gu M.  

Numerische Mathematik, Vol. 96, Iss. 4, 2004-02 ,pp. : 723-731

Springer Publishing Company

Access to resources Recommend Favorite

On the mixture maximum likelihood approach to estimation and clustering

By  

Bulletin of the Australian Mathematical Society, Vol. 24, Iss. 2, 1981-10 ,pp. : 309-312

Cambridge University Press

Access to resources Recommend Favorite

Meaningful Measurement for Community‐Based Adaptation

By  

New Directions For Evaluation, Vol. 1097-6736, Iss. 147, 2015-09 ,pp. : 89-104

John Wiley & Sons Inc

Access to resources Recommend Favorite

Meaningful Measurement for Community‐Based Adaptation

By  

New Directions For Evaluation, Vol. 2015, Iss. 147, 2015-09 ,pp. : 89-104

John Wiley & Sons Inc

Access to resources Recommend Favorite

A modified EM algorithm for mixture models based on Bregman divergence

By Fujimoto Yu   Murata Noboru  

Annals of the Institute of Statistical Mathematics, Vol. 59, Iss. 1, 2007-03 ,pp. : 3-25

Springer Publishing Company

Access to resources Recommend Favorite