Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences-Reference-Cited by-同舟云学术

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Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences

Published:2016-04-02 Issue:2 Volume:58 Page:205-213
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Arnesen Petter¹,Holsclaw Tracy²,Smyth Padhraic³

Affiliation:

1. Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, 7491, Norway ()

2. Department of Computer Science and the Department of Statistics, University of California, Irvine, CA 92697 ()

3. Department of Computer Science, University of California, Irvine, CA 92697 ()

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2015.1044118

Reference43 articles.

1. The double chain markov model

2. High-order extensions of the Double Chain Markov Model

3. A daily stochastic weather generator for preserving low-frequency of climate variability

4. Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data

5. Cleynen, A., Lebarbier, E. (2014), Segmentation of the Poisson and Negative Binomial Rate Models: A Penalized Estimator,” ESAIM: Probability and Statistics, 18, 750–769.

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1. Modelling Temporal Networks with Markov Chains, Community Structures and Change Points;Computational Social Sciences;2023

2. Bayesian Multiple Changepoint Detection for Stochastic Models in Continuous Time;Bayesian Analysis;2021-06-01

3. Clustering and automatic labelling within time series of categorical observations—with an application to marine log messages;Journal of the Royal Statistical Society: Series C (Applied Statistics);2021-05-03

4. Bayesian multiple changepoints detection for Markov jump processes;Computational Statistics;2020-01-25

5. Estimating the Impact of Incidents on Process Delay;2019 International Conference on Process Mining (ICPM);2019-06

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