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An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is... Read More >>
Encompassing both introductory and more advanced research material, these notes deal with the author's contributions... Read More >>
This volume contains lecture notes from the coursesgiven by Vlad Bally and Rama Cont at the Barcelona Summer School... Read More >>
A succinct and rigorous treatment of the foundations of stochastic control, ideal for advanced students already... Read More >>
Stochastic Cauchy Problems in Infinite Dimensions: Generalized and Regularized Solutions presents stochastic differential... Read More >>
Covering a variety of statistical methods, this book provides readers with a thorough understanding of the techniques... Read More >>
Presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative... Read More >>
Life Insurance is by essence a field where stochastic processes can be easily applied. Indeed, a Life Insurance... Read More >>
As Non-Life Insurance models are strictly connected with stochastic processes, the main aim of this book is to show... Read More >>
Positive systems naturally arise in the description of biological systems, compartmental models, population dynamics,... Read More >>
This book compiles and critically discusses modern engineering system degradation models and their impact on engineering... Read More >>
This book provides comprehensive coverage of matrix theory from a geometric and physical perspective, and the authors... Read More >>
This book introduces a new way of analyzing, measuring and thinking about mega-risks, a “paradigm shift” that moves... Read More >>
Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only... Read More >>
Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling,... Read More >>