The most important impacts of climate change relate to temperature and precipitation. Precipitation is particularly important, because changes in precipitation patterns may lead to floods or droughts in different areas. Also, precipitation is a major factor in agriculture and in recent years interest has increased in learning about precipitation variability for periods of months to annual and s...

This paper is concerned with the detection of multiple changepoints in the joint distribution of independent categorical variables. The procedures introduced rely on model selection and are based on a penalized least-squares criterion. Their performance is assessed from a nonasymptotic point of view. Using a special collection of models, a preliminary estimator is built. According to an existin...

Multiple change-point models provide a exible and interpretable framework for representation of temporal heterogeneity in data. In addition to the locations of changepoints, these models typically involve parameters which specify the distributions of data between change-points and other quantities. However, the values of these parameters are usually unknown and need to be inferred from the data...