Accelerating Bayesian Hierarchical Clustering of Time Series Data with a Randomised Algorithm
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DOI: 10.1371/journal.pone.0059795
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- Brock, Guy & Pihur, Vasyl & Datta, Susmita & Datta, Somnath, 2008. "clValid: An R Package for Cluster Validation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i04).
- Fruhwirth-Schnatter, Sylvia & Kaufmann, Sylvia, 2008.
"Model-Based Clustering of Multiple Time Series,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 78-89, January.
- Kaufmann, Sylvia & Frühwirth-Schnatter, Sylvia, 2004. "Model-based Clustering of Multiple Time Series," CEPR Discussion Papers 4650, C.E.P.R. Discussion Papers.
- L. Bauwens & J. V. K. Rombouts, 2007.
"Bayesian Clustering of Many Garch Models,"
Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 365-386.
- BAUWENS, Luc & ROMBOUTS, Jeroen, 2003. "Bayesian clustering of many GARCH models," LIDAM Discussion Papers CORE 2003087, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BAUWENS, Luc & ROMBOUTS, Jeroen VK, 2007. "Bayesian clustering of many GARCH models," LIDAM Reprints CORE 1916, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Heard, Nicholas A. & Holmes, Christopher C. & Stephens, David A., 2006. "A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes: An Application of Bayesian Hierarchical Clustering of Curves," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 18-29, March.
- Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
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Cited by:
- Guillaume Marrelec & Arnaud Messé & Pierre Bellec, 2015. "A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-26, September.
- Crook Oliver M. & Gatto Laurent & Kirk Paul D. W., 2019. "Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(6), pages 1-20, December.
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