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Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model

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Publication:4564327
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DOI10.1109/TSP.2006.885768zbMath1390.85030OpenAlexW4299302427WikidataQ58830403 ScholiaQ58830403MaRDI QIDQ4564327

Jeffrey D. Scargle, Jean-Yves Tourneret, Nicolas Dobigeon

Publication date: 12 June 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2006.885768



Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to physics (62P35) Statistical astronomy (85A35)


Related Items (6)

Comparing change-point location in independent series ⋮ Bayesian separation of spectral sources under non-negativity and full additivity constraints ⋮ A Bayesian approach for the segmentation of series with a functional effect ⋮ Exploring the latent segmentation space for the assessment of multiple change-point models ⋮ Enhanced sampling schemes for MCMC based blind Bernoulli-Gaussian deconvolution ⋮ Joint segmentation of wind speed and direction using a hierarchical model




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