Modern Discrete Probability 1st Edition

Modern Discrete Probability — 1st Edition by Sébastien Roch is a contemporary, rigorously written introduction to discrete probability that speaks to both curious students and working professionals. Clear explanations and thoughtfully chosen examples make complex ideas accessible without sacrificing mathematical depth.

Gain a firm command of core topics — probability spaces, random variables, expectations, generating functions, concentration inequalities, martingales, coupling techniques, and Markov chains — presented with an eye toward modern applications in algorithms, networks, and data science. The text balances formal proofs with intuitive insights, helping readers build transferable problem-solving skills rather than rote procedures.

Designed for advanced undergraduates, graduate students, and researchers, this 1st edition equips readers to tackle real-world stochastic problems and pursue further study. Worked examples and challenging exercises reinforce learning and encourage mastery of both theory and technique. Whether you are preparing for coursework in North America, Europe, or Asia-Pacific, or sharpening tools for research and industry projects, this volume offers practical value and academic rigor.

Packed with contemporary perspectives yet grounded in classical results, Modern Discrete Probability is an ideal classroom text, reference, or self-study companion. Add this essential resource by Sébastien Roch to your collection to deepen your understanding of discrete stochastic systems and advance your analytical capabilities. Purchase now to strengthen your foundation in modern probability theory.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.