This paper presents a nonparametric regression model of categorical time series in the setting of conditional tensor factorization and Bayes network. The underlying algorithms are developed to provide a flexible and parsimonious representation for fusion of correlated information from heterogeneous sources. which can be used to improve the performance of prediction tasks and infer the... https://www.soiebiologique.com/