Abstract
We address the problem of detection and estimation of sinusoids embedded in white Gaussian noise. We follow a Bayesian approach and adopt robust default priors, expected posterior priors. In order to compute the associated Bayes factor required for model selection we resort to Monte Carlo Markov chain algorithms, and illustrate performance on an example.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
