A maximum likelihood algorithm for the estimation and renormalization of exponential densities-Reference-Cited by-同舟云学术

A maximum likelihood algorithm for the estimation and renormalization of exponential densities

Published:2005-09 Issue:2 Volume:208 Page:691-703
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Stinis Panagiotis

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modelling and Simulation,Numerical Analysis

Reference15 articles.

1. M. Wainwright, M. Jordan, Graphical models, exponential families, and variational inference. Tech. rep., Department of Statistics, University of California, Berkeley, 2003

2. Renormalization group and probability theory;Jona-Lasinio;Phys. Rep.,2001

3. The Theory of Critical Phenomena (An Introduction to the Renormalization Group);Binney,1992

4. Monte–Carlo renormalization group;Swendsen;Phys. Rev. Lett.,1979

5. M. Wainwright, M. Jordan, Variational inference in graphical models: the view from the marginal polytope, in: Forty-first Annual Allerton Conference on Communication, Control, and Computing, Urbana-Champaign, IL, 2004

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Random Fields for Spatial Data Modeling;Advances in Geographic Information Science;2020

2. More on Estimation;Advances in Geographic Information Science;2020

3. Recent advances in maximum entropy biasing techniques for molecular dynamics;Molecular Simulation;2019-05-02

4. Molecular simulations minimally restrained by experimental data;The Journal of Chemical Physics;2019-04-21

5. Reweighting ensemble probabilities with experimental histogram data constraints using a maximum entropy principle;The Journal of Chemical Physics;2018-12-21