Learning Time-Inhomogeneous Markov Dynamics in Financial Time Series via Neural Parameterization
arXiv:2605.04690v1 Announce Type: new
Abstract: Modeling the dynamics of non-stationary stochastic systems requires balancing the representational power of deep learning with the mathematical transparency of classical models. While classical Markov tr…