2017
Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model
ICASSP 2017accepted
The object of this paper is to introduce a new estimation algorithm specifically designed for the latent high-order autoregressive models. It implements the concept of the filter-based maximum likelihood. Our approach is fully deterministic and is less computationally demanding than the traditional…