Filtering deals with recursive estimation of signals from their noisy measurements. A typical setup consists of a Markov process, which cannot be observed direc

Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development. Aspects of modeling,

Linear filtering techniques are used to develop a quasi maximum likelihood estimator for asymmetric stochastic volatility models. The estimator is straightforwa