This book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures ...
WeiterlesenThis book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
WeiterlesenThe book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
WeiterlesenThe main purpose of the book is to give a rigorous, yet mostly nontechnical, introduction to the most important and useful ...
WeiterlesenApplied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic ...
WeiterlesenThis Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
WeiterlesenThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
WeiterlesenWith its many easy-to-follow mathematical examples, this book takes the reader on an almost chronological trip through the ...
WeiterlesenThis book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic ...
WeiterlesenThis book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
WeiterlesenThis book introduction to statistical inference in observational studies and a detailed discussion of the principles that ...
WeiterlesenThis book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase ...
WeiterlesenPresents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, ...
WeiterlesenThis book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, ...
WeiterlesenThis book presents 20 peer-reviewed chapters on current aspects of derivatives markets and derivative pricing. The contributions, ...
WeiterlesenThis book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
WeiterlesenThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
WeiterlesenThis book introduces and explains classical and modern mathematical procedures as applied to the real problems confronting ...
WeiterlesenThis book contains fundamental elements of mathematics and includes the following elements: notion of logic, propositions, ...
WeiterlesenThis book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). ...
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