Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC

In this paper, the problem of joint Bayesian model selection and parameter estimation for sinusoids in white Gaussian noise is addressed. An original Bayesian model is proposed that allows us to define a posterior distribution on the parameter space. All Bayesian inference is then based on this dist...

書誌詳細
主要な著者:	Andrieu, C, Doucet, A
フォーマット:	Journal article
言語:	English
出版事項:	IEEE 1999

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