– Details conditional expectations and martingale convergence theorems.
– Includes stopping times, recurrence, and renewal theory. Probability: Theory and Examples, Fourth Edition
– Analyzes discrete-time stochastic processes. Probability: Theory and Examples, Fourth Edition
The text is organized into eight primary chapters, moving from foundational measure theory to complex stochastic processes: Probability: Theory and Examples, Fourth Edition
– Covers probability spaces, distributions, and the integration required for a rigorous foundation.