Abstract Changepoint models typically assume the data within each segment are independent and identically distributed conditional on some parameters that change across segments. This construction may be inadequate when subject to local correlation patterns, often resulting in many more changepoints fitted than preferable. article proposes a Bayesian changepoint model relaxes assumption of excha...