Bayesian Multiple Changepoint Analysis of Hurricane Activity in the Eastern North Pacific: A Markov Chain Monte Carlo Approach

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A Bayesian Regression Approach for Predicting Seasonal Tropical Cyclone Activity over the Central North Pacific (2006, methodology): “More recently, Zhao and Chu (2006) developed a more advanced method for detecting multiple changepoints in hurricane time series for the eastern North Pacific.”
Bayesian Changepoint Analysis for Extreme Events (Typhoons, Heavy Rainfall, and Heat Waves): An RJMCMC Approach (2010, methodology): “2) RJMCMC APPROACH TO BAYESIAN HYPOTHESIS SELECTION Regular MCMC methods, such as a Gibbs sampler, have been successfully applied to many real applications (e.g., Zhao and Chu 2006).”
Inference for single and multiple change‐points in time series (2013, background): “…include those of Yao (1988), Barry and Hartigan (1992, 1993), Chib (1998), Wang and Zivot (2000), Caussinus and Mestre (2004), Fearnhead (2006), Zhao and Chu (2006), Seidou and Ouarda (2007), Giordani and Kohn (2008), Koop and Potter (2009), Chong and Ko (2012) and Lai and Xing (2011, 2012).”