AI helps you reading Science

AI generates interpretation videos

AI extracts and analyses the key points of the paper to generate videos automatically

Go Generating

AI Traceability

AI parses the academic lineage of this thesis

Generate MRT

Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, no. SP4.0 (2012): 940-960

Cited: 75|Views22

Full Text

View via Publisher

Other Links

dblp.uni-trier.de academic.microsoft.com arxiv.org

Bibtex

Keywords

Approximate Bayesian computationExponential random graphsGraphical modelsIntractable normalizing constantsParticle Markov chain Monte Carlo

Abstract

Undirected graphical models are widely used in statistics, physics, and, machine vision. However, Bayesian parameter estimation for undirected models is extremely challenging, since evaluation of the posterior typically involves the calculation of an intractable normalizing constant. This problem has received much attention, but very litt...More

Code:

Data:

Full Text

PPT (Upload PPT)

Similar

Reference

Cited

Author

Richard G. Everitt

[0]

Your rating :

No Ratings