Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
arXiv:2604.04963v1 Announce Type: new
Abstract: We develop a semi-parametric state-space model for time-series data with latent regime transitions. Classical Markov-switching models use fixed parametric transition functions, such as logistic or probit…