An application of MCMC methods for the multiple change-points problem
Signal Processing - Special section on Markov Chain Monte Carlo (MCMC) methods for signal processing
Using penalized contrasts for the change-point problem
Signal Processing
Exact and efficient Bayesian inference for multiple changepoint problems
Statistics and Computing
Joint segmentation of wind speed and direction using a hierarchical model
Computational Statistics & Data Analysis
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The joint segmentation of multiple series is considered. A mixed linear model is used to account for both covariates and correlations between signals. An estimation algorithm based on EM which involves a new dynamic programming strategy for the segmentation step is proposed. The computational efficiency of this procedure is shown and its performance is assessed through simulation experiments. Applications are presented in the field of climatic data analysis.