Paper Info
Title
A Bayesian approach for simultaneous segmentation and classification of count data
Abstract
A Bayesian approach is proposed that provides a concise description of a series of counts under the form of homogeneous consecutive data segments that are classified based on their marginal distribution. Due to the flexibility of the corresponding model, carrying out the actual inference turns out to be a complex task for which an original combination of several Markov chain Monte Carlo (MCMC) sim...
Year
DOI
Venue
2002
10.1109/78.978394
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Bayesian methods,Hidden Markov models,Monte Carlo methods,Internet,Communication system traffic control,Traffic control,Time series analysis,Computerized monitoring,Roads,Data engineering
Monte Carlo method,Mathematical optimization,Markov process,Markov chain Monte Carlo,Segmentation,Computer science,Inference,Markov chain,Algorithm,Count data,Statistics,Bayesian probability
Journal
Volume
Issue
ISSN
50
2
1053-587X
Citations 
PageRank 
References 
2
0.41
7
Authors
1
Name
Order
Citations
PageRank
O. Cappe12112207.95