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Bayesian Detection of Piecewise Linear Trends in Replicated Time-Series with Application to Growth Data Modelling
We consider the situation where a temporal process is composed of contiguous segments with differing slopes and replicated noise-corrupted time series measurements are observed. The unknown mean of the data generating process is modelled as a piecewise linear function of time with an unknown number of change-points. We develop a …