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Probability & Statistics

  • An Introduction to Polynomial and Semi-Algebraic Optimizationby Jean Bernard Lasserre

    Cambridge University Press 2015; US$ 48.00

    The first comprehensive introduction to the powerful moment approach for solving global optimization problems. more...

  • Quantum Stochasticsby Mou-Hsiung Chang

    Cambridge University Press 2015; US$ 68.00

    This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes. more...

  • Introduction to Probabilityby N. Balakrishnan; Markos V. Koutras; Politis Konstantinos

    Wiley 2015; US$ 130.00

    With a focus on models and tangible applications of probability from physics, computer science, and other related disciplines, this book successfully guides readers through fundamental coverage for enhanced understanding of the problems. Topical coverage includes: bivariate discrete random, continuous random, and stochastic independence-multivariate... more...

  • Markov Processesby James R. Kirkwood

    Taylor and Francis 2015; US$ 79.95

    This text fills a niche between a calculus-based probability course and a stochastic processes course typically taken by upper undergraduate students. While Markov processes are touched on in probability courses, this book offers the opportunity to concentrate on the topic when additional study is required. It discusses how Markov processes are applied... more...

  • Mendelian Randomizationby Stephen Burgess; Simon G. Thompson

    Taylor and Francis 2015; US$ 59.95

    Mendelian randomization is a way of assessing causal associations from observational data, which is especially important for medical scientists and epidemiologists who want to know the true causes of diseases. Covering this emerging area of research in biostatistics and epidemiology, this book examines the use of genetic variants as instrumental variables... more...

  • Semi-Markov Modelsby Yuriy E Obzherin; Elena G Boyko

    Elsevier Science 2015; US$ 100.00

    Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems,... more...

  • The Surprising Mathematics of Longest Increasing Subsequencesby Dan Romik

    Cambridge University Press 2015; US$ 32.00

    This book presents for the first time to a general readership recent groundbreaking developments in probability and combinatorics related to the longest increasing subsequence problem. more...

  • Modeling and Forecasting Electricity Demandby Kevin Berk

    Springer Fachmedien Wiesbaden 2015; US$ 89.99

    The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can... more...

  • Intervalldaten und generalisierte lineare Modelleby Michael Seitz

    Springer Fachmedien Wiesbaden 2015; US$ 59.99

    Da eine direkte präzise Schätzung von Parametern mit Intervalldaten in generalisierten linearen Modellen nicht möglich ist, formuliert Michael Seitz die Intervallschätzungen der Parameter als Optimierungsproblem und schlägt numerische Verfahren vor, um diese zu lösen. Die Herausforderung liegt dabei in der numerischen Lösung des hochdimensionalen Optimierungsproblems.... more...

  • Introduction to High-Dimensional Statisticsby Christophe Giraud

    CRC Press 2015; US$ 69.95

    Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians... more...