This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
Continue readingThis book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
Continue readingThis book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
Continue readingThis book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
Continue readingThis book introduction to statistical inference in observational studies and a detailed discussion of the principles that ...
Continue readingThe motivation stems from existing and emerging applications in optimization and control of complex hybrid Markovian systems ...
Continue readingThis book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase ...
Continue readingThe theory of random Schrödinger operators is devoted to the mathematical analysis of quantum mechanical Hamiltonians modeling ...
Continue readingExtreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
Continue readingExtreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
Continue readingFailure Rate Modelling for Reliability and Risk focuses on reliability theory and, specifically, on the failure rate (the ...
Continue readingThe auther was involved in several industry projects in the field of power management, on the occasion of which I was repeatedly ...
Continue readingPresents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, ...
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 readingLévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around ...
Continue readingLévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around ...
Continue readingLagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations ...
Continue readingLagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations ...
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