Statistics of Random Processes : I. General Theory

Chapter 1 Introduction

Chapter 2 Essentials of Probability Theory and Mathematical Statistics

Chapter 4 Martingales and Related Processes: Continuous Time

Chapter 5 The Wiener Process, the Stochastic Integral over the Wiener Process, and Stochastic Differential Equations

Chapter 6 Square Integrable Martingales and Structure of the Functionals on a Wiener Process

Chapter 7 Nonnegative Supermartingales and Martingales, and the Girsanov Theorem

Chapter 8 Absolute Continuity of Measures corresponding to the Itô Processes and Processes of the Diffusion Type

Chapter 9 General Equations of Optimal Nonlinear Filtering, Interpolation and Extrapolation of Partially Observable Random Processes

Chapter 10 Optimal Filtering, Interpolation and Extrapolation of Markov Processes with a Countable Number of States

Chapter 11 Optimal Linear Nonstationary Filtering