Institute of Information Theory and Automation

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Jan Reichl

  1. Dedecius Kamil, Reichl Jan, Djurić P. M. :  Sequential Estimation of Mixtures in Diffusion Networks , IEEE Signal Processing Letters vol.22, 2 (2015), p. 197-201 [2015] Download DOI: 10.1109/LSP.2014.2353652

  1. Reichl Jan, Dedecius Kamil :  Likelihood tempering in dynamic model averaging , Bayesian Statistics in Action, p. 67-77 , Eds: Argiento R., Lanzarone E., Villalobos I. A., Mattei A., Bayesian Young Statisticians Meeting, BAYSM 2016, (Florence, IT, 20160619) [2017] Download DOI: 10.1007/978-3-319-54084-9_7
  2. Reichl Jan, Dedecius Kamil :  Diffusion MCMC for Mixture Estimation, (Praha 2016) Research Report 2354 [2016] Download
  3. Dedecius Kamil, Reichl Jan :  Distributed estimation of mixture models , Bayesian statistics from methods to models and applications, p. 27-36 , Eds: Frühwirth-Schnatter S., Bitto A., Kastner G., Posekany A., Bayesian Young Statisticians Meeting (BAYSM 2014) /2./, (Vienna, AT, 18.09.2014-19.09.2014) [2015] Download DOI: 10.1007/978-3-319-16238-6_3
2019-01-07 08:39
Institute of Information Theory and Automation