In multiple change-point analysis, inferring the number of change points is often achieved by minimizing a selection criterion that trades off data fidelity with complexity. We address the open ...
James R. Thomson, Wim J. Kimmerer, Larry R. Brown, Ken B. Newman, Ralph Mac Nally, William A. Bennett, Frederick Feyrer and Erica Fleishman We examined trends in abundance of four pelagic fish species ...
Change-point detection is a pivotal statistical framework used to identify abrupt changes in the behaviour of stochastic systems. These models, which integrate inherent randomness, are essential in ...
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