Time-varying Markov regression random-effect model with Bayesian estimation procedures: Application to dynamics of functional recovery in patients with stroke
Keywords: Ordinary differential equation; Markov chains Monte Carlo; Continuous-time Markov process; Stochastic processes; Bayesian directed acyclic graphic model; Gibbs sampling