In this article, we propose a generalized Gaussian process concurrent regression model for functional data, where the functional response variable has a binomial. Poisson, or other non-Gaussian ...

We study Markov regime-switching Gaussian autoregressive models that capture temporal heterogeneity exhibited by time series data. Constructing a Markov regime-switching model requires making several ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.