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3731 books were found.
Hybrids of the new approach with experimental design methodologies (response surface methodology, orthogonal experimental... Read More >>
Artificial Intelligence, Volume 49 in the Handbook of Statistics series, highlights new advances in the field, with... Read More >>
This book illustrates a number of asymptotic and analytic approaches applied for the study of random evolutionary... Read More >>
Programming exercises in Python are also included to show how math behaves in action.Mathematical Thinking is an... Read More >>
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This book focuses on target tracking and information fusion with random finite sets. Five extended applications... Read More >>
Along the way, exact formulas are obtained for the quasispecies distribution in the long chain regime, on the sharp... Read More >>
Opens doors for artificial intelligence experts to use stochastic processes as an effective tool in real-world problems... Read More >>
This book introduces the study of stochastic volatility (SV) models via Malliavin Calculus. Malliavin calculus has... Read More >>
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"This book presents fluid and diffusion approximations of a two-station mixed queueing network. The book provides... Read More >>
The papers contained in this book reflect the broad field of interests of Vladimir Spokoiny: optimal rates and non-asymptotic... Read More >>
This book offers an introduction to the field of stochastic analysis of Hermite processes. These selfsimilar stochastic... Read More >>
Provides an introduction to elementary probability theory and stochastic processes. This book shows how probability... Read More >>
This book considers a broad range of areas from decision making methods applied in the contexts of Risk, Reliability... Read More >>
New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central... Read More >>
In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and... Read More >>
This book provides the essential theoretical tools for stochastic modeling. The authors address the most used models... Read More >>
