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Showing 1 to 1 of 1 for “"multi-change point detection"”.

  1. Deciphering multiple changes in complex climate time series using Bayesian inference

    Change points in time series are perceived as heterogeneities in the statistical or dynamical characteristics of the observations. Unraveling such transitions yields essential information for the understanding of the observed system’s intrinsic evolution and potential external influences. A precise …

    potsdam-diss Repository record for Deciphering multiple changes in complex climate time series using Bayesian inference (opens in a new tab)