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» Inferring Mixtures of Markov Chains
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KI
2010
Springer
14 years 10 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz
AAAI
2004
15 years 1 months ago
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
BIOINFORMATICS
2008
148views more  BIOINFORMATICS 2008»
14 years 12 months ago
Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo
Bayu Jayawardhana, Douglas B. Kell, Magnus Rattray
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
15 years 5 months ago
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
David Poole
ICML
2005
IEEE
16 years 16 days ago
Tempering for Bayesian C&RT
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
Nicos Angelopoulos, James Cussens