We propose a new model for the variance between multiple time series, the Regime Switching Dynamic Correlation. We decompose the covariances into correlations and standard deviations and the correlation matrix follow a regime switching model; it is constant within a regime but different across...

This paper proposes a regression model for analysis of panel count data with the presence of excess zeros relative to a negative binomial distribution, in which the frequency distribution of counts changes according to an underlying two-state Markov chain. Features of the proposed model and...