Simulated data in R. Bayesian approach to detect single changepoint: Gibbs sampling is implemented to detect this changepoint and estimate model parameters. Frequentist approach for multiple changepoints: fused LASSO signal approximator.
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Simulated data in R, with a structural break in mean and variance. Gibbs sampling is implemented to detect this changepoint and estimate model parameters.
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