Description
Master Probability Theory with Confidence
This expertly structured guide delivers a complete, one-year curriculum in probability theory and random processes, blending foundational concepts with advanced modern methods. Ideal for university students, researchers, and professionals who rely on rigorous probabilistic tools.
What You'll Learn
- Lebesgue integration, Markov chains, and random walks
- Laws of large numbers, limit theorems, and RG connections
- Stationary processes, martingales, and generalized random fields
- Brownian motion, stochastic integrals, and SDEs
- Introduction to Gibbs random fields and practical applications
Who This Book Is For
Undergraduate and graduate students, data scientists, physicists, and anyone needing a comprehensive, reliable reference in modern probability theory.
Advance your understanding of probability—order your copy today.
Expert Guide to Probability Theory & Random Processes
$50.00