This book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic ...
Continue readingThis book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
Continue readingThis book introduction to statistical inference in observational studies and a detailed discussion of the principles that ...
Continue readingThe goal of these notes is to provide a straightforward and self supporting but minimalist account of the key results forming ...
Continue readingThis book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase ...
Continue readingA problem of broad interest – the estimation of the spectral gap for matrices or differential operators (Markov chains ...
Continue readingBehind genetics and Markov chains, there is an intrinsic algebraic structure. It is defined as a type of new algebra: as ...
Continue readingThe present threat of the terrorist attacks or accidental explosions, the climate change which brings strong stormy winds ...
Continue readingIn probability and statistics we often have to estimate probabilities and parameters in probability distributions using a ...
Continue readingThis book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, ...
Continue readingMost of the papers deal with different aspects of the Asymptotic Geometric Analysis, ranging from classical topics in the ...
Continue readingAlexander Reznikov (1960-2003) was a brilliant and highly original mathematician. This book presents 18 articles by prominent ...
Continue readingPresents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, ...
Continue readingThis book - an outgrowth of a topical summer school - sets out to introduce non-specialists from physics and engineering ...
Continue readingThis book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, ...
Continue readingThis book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. ...
Continue readingThis book presents 20 peer-reviewed chapters on current aspects of derivatives markets and derivative pricing. The contributions, ...
Continue readingThe justifcation is mainly pedagogical. These lecture notes start with an elementary approach to stochastic calculus due ...
Continue readingThe justifcation is mainly pedagogical. These lecture notes start with an elementary approach to stochastic calculus due ...
Continue readingThe theory of stochastic integration, also called the Ito calculus, has a large spectrum of applications in virtually every ...
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