This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, ergodic theory, weak convergence of probability measures, stationary stochastic processes[...]
This volume by two international leaders in the field proposes a systematic exposition of convergence in law for stochastic processes from the point of view of semimartingale theory. It emphasizes results that are useful for mathematical theory and mathematical statistics. Coverage develops in detai[...]
Covers a connection between optimal stopping and free-boundary problems. This book uses minimal tools and focuses on key examples. It exposes the general theory of optimal stopping, at its basic principles in both discrete and continuous time. It is useful for graduate and postgraduate students, res[...]
The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory and sequential testing of hypothesis.[...]