We introduce a general approach which unifies some previous attempts for modeling the dynamic of multivariate time series or regression analysis when data are mixed type (binary/count/continuous). Our is quite flexible since conditionally on past values, each coordinate at t can have distribution compatible with standard univariate model such as GARCH, ARMA, INGARCH logistic models whereas valu...

Mixed-paradigm process models integrate strengths of procedural and declarative representations like Petri nets Declare. They are specifically interesting for mining because they allow capturing complex behaviour in a compact way. A key research challenge the proliferation mixed-paradigm is lack corresponding conformance checking techniques. In this paper, we address problem by devising first a...