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Model selection by MCMC computation.

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Publication:5940754
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DOI10.1016/S0165-1684(00)00188-2zbMath1098.94514OpenAlexW2010627960WikidataQ127088197 ScholiaQ127088197MaRDI QIDQ5940754

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Publication date: 20 August 2001

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1684(00)00188-2


zbMATH Keywords

Bayesian model selectionMarkov chain Monte Carlo methodsReversible jump MCMC


Mathematics Subject Classification ID

Theory of statistical experiments (62B15) Bayesian inference (62F15) Inference from stochastic processes (62M99) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)


Related Items (3)

Learning the structure of dynamic Bayesian networks from time series and steady state measurements ⋮ Estimation of structural changes in nonlinear time series models by using particle filters and genetic programming ⋮ Bayesian Stable Mixture Model of State Densities of Generalized Chua's Circuit







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