I -- 1. Basic Concepts and the Review of Results of ยซThe General Theory of Stochastic Processesยป -- 2. Semimartingales. I. Stochastic Integral -- 3. Random Measures and their Compensators -- 4. Semimartingales. II Canonical Representation -- II -- 5. Weak Convergence of Finite-Dimensional Distributions of Semimartingales to Distributions of Processes with Conditionally Independent Increments -- 6. The Space D. Relative Compactness of Probability Distributions of Semimartingales -- 7. Weak Convergence of Distributions of Semimartingales to Distributions of Processes with Conditionally Independent Increments -- 8. Weak Convergence of Distributions of Semimartingales to the Distribution of a Semimartingale -- III -- 9. Invariance Principle and Diffusion Approximation for Models Generated by Stationary Processes -- 10. Diffusion Approximation for Semimartingales with a Normal Reflexion in a Convex Region -- Historic-Bibliographical notes

1. Mathematics
2. Probabilities
3. Statistical physics
4. Dynamical systems
5. Electrical engineering
6. Mathematics
7. Probability Theory and Stochastic Processes
8. Statistical Physics
9. Dynamical Systems and Complexity
10. Electrical Engineering