Título: Martingale Problems for Conditional Distributions of Markov Processes
Autores: Kurtz, Thomas G.; University of Wisconsin, Madison
Fecha: 1998-01-01
Publicador: Electronic journal of probability
Fuente:
Tipo: Peer-reviewed Article

Tema: Mathematics
partial observation, conditional distribution, filtering, forward equation, martingale problem, Markov process, Markov function, quasireversibility, measure-valued process
60G35, 69J25, 60J35, 93E11, 60G09, 60G44
Descripción: Let $X$ be a Markov process with generator $A$ and let $Y(t)=\gamma (X(t))$. The conditional distribution $\pi_t$ of $X(t)$ given $\sigma (Y(s):s\leq t)$ is characterized as a solution of a filtered martingale problem. As a consequence, we obtain a generator/martingale problem version of a result of Rogers and Pitman on Markov functions. Applications include uniqueness of filtering equations, exchangeability of the state distribution of vector-valued processes, verification of quasireversibility, and uniqueness for martingale problems for measure-valued processes. New results on the uniqueness of forward equations, needed in the proof of uniqueness for the filtered martingale problem are also presented.
Idioma: Inglés

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