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Bayesian non‐parametric hidden Markov models with applications in genomics

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  • C. Yau
  • O. Papaspiliopoulos
  • G. O. Roberts
  • C. Holmes

Abstract

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File URL: http://hdl.handle.net/10.1111/j.1467-9868.2010.00756.x
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Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Volume (Year): 73 (2011)
Issue (Month): 1 (January)
Pages: 37-57

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Handle: RePEc:bla:jorssb:v:73:y:2011:i:1:p:37-57
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Keywords: Block Gibbs sampler ; Copy number variation ; Local and global clustering ; Partial exchangeability ; Partition models ; Retrospective sampling ;

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Cited by:

  1. Stefano Favaro & Antonio Lijoi & Igor Prünster, 2012. "On the stick–breaking representation of normalized inverse Gaussian priors," DEM Working Papers Series 008, University of Pavia, Department of Economics and Management.
  2. Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013. "Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models," International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
  3. Bartolucci, Francesco & Farcomeni, Alessio & Pennoni, Fulvia, 2012. "Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," MPRA Paper 39023, University Library of Munich, Germany.
  4. Rousseau, Judith, 2014. "On consistency issues in Bayesian nonparametric testing - a review," Economics Papers from University Paris Dauphine 123456789/13438, Paris Dauphine University.

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