Linear filtering and estimation in conditionally Gaussian multi-channel models.

摘要

The aim of this thesis is to estimate the random coefficient parameter of first and second order conditionally Gaussian multi-channel models and to study asymptotic properties of those estimators. The connection between certain stochastic partial differential equation and the multi-channel model serves as the initial motivation of this disposition.