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"Random processes" as a book category covers the theory and applications of stochastic processes — mathematical models for systems that evolve randomly over time or space. Titles range from introductory texts on probability and discrete-time Markov chains to advanced treatments of Brownian motion, Poisson processes, martingales, stochastic calculus, and time series analysis, plus applied books on queueing theory, reliability, finance, signal processing, and biological or physical modeling. Books in this category may be theoretical (proof-based graduate texts), practical (algorithmic, simulation and numerical methods), or interdisciplinary (case studies and applied modeling), and are aimed at mathematicians, statisticians, engineers, data scientists and researchers who need to model, analyze or infer behavior of systems influenced by randomness.

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