This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
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This book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
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This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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This book introduction to statistical inference in observational studies and a detailed discussion of the principles that ...
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The 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 ...
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The theory of random Schrödinger operators is devoted to the mathematical analysis of quantum mechanical Hamiltonians modeling ...
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Extreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
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Extreme Value Theory offers a careful, coherent exposition of the subject starting from the probabilistic and mathematical ...
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Failure Rate Modelling for Reliability and Risk focuses on reliability theory and, specifically, on the failure rate (the ...
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The auther was involved in several industry projects in the field of power management, on the occasion of which I was repeatedly ...
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Presents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, ...
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This book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, ...
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This 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, ...
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Lévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around ...
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Lévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around ...
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Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations ...
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Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations ...
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