Stochastic Processes and Simulations - Volume I
The 100 page book on stochastic processes.
This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time.
Topics covered include inference for spatial processes, GPU-based supervised learning, perturbed lattice point processes, new inference techniques such as dual confidence regions and Rayleigh test of independence, experimental mathematics, simulations, and numerous resources: spreadsheets, data sets, code, videos, extensive bibliography, and original exercises with solutions.
This textbook, published in 2022, represents the culmination of years of research, setting new highs in terms of originality, scientific value, and presentation style. Read more.
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