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This concise, cohesive book focuses on commonly used and recently developed methods for... Læs mere
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This account of the new and exciting area of noise sensitivity of Boolean functions - in particular applied to critical percolation - is designed... Læs mere
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Practically every result on multivariate t-distributions published in the last 50 years is brought together for the first time. Covers theoretical... Læs mere
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This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data... Læs mere
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This rigorous study of statistical hydrodynamics and turbulence is ideal for mathematicians and physicists who need to understand the mathematical foundations of... Læs mere
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Assuming only basic knowledge of probability theory and functional analysis, this book is an ideal introduction to the... Læs mere
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Real-world time series rarely satisfy simple assumptions, often exhibiting long-range dependence. Ignoring this undermines accurate detection of trends and other... Læs mere
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Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear... Læs mere
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Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.
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The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering... Læs mere
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Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized... Læs mere
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This book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification... Læs mere