Handbook of Statistical Genomics, David J. Balding, Ida Moltke, John Marioni

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Ward Helen, Toledano Mireille, Elliott Paul
Название: Oxford Handbook of Epidemiology for Clinicians
ISBN: 0198529880 ISBN-13(EAN): 9780198529880
Издательство: Oxford Academ
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Цена: 5384.00 р.
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Описание: The Oxford Handbook of Epidemiology for Clinicians is the essential reference for all clinicians and junior doctors who need to apply clinical evidence in everyday practice.

Автор: Malley
Название: Statistical Learning for Biomedical Data
ISBN: 0521699096 ISBN-13(EAN): 9780521699099
Издательство: Cambridge Academ
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Цена: 6494.00 р.
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Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

Автор: Agarwal
Название: Statistical Methods for Recommender Systems
ISBN: 1107036070 ISBN-13(EAN): 9781107036079
Издательство: Cambridge Academ
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Цена: 7602.00 р.
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Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.

Автор: Henry Horng-Shing Lu; Bernhard Sch?lkopf; Hongyu Z
Название: Handbook of Statistical Bioinformatics
ISBN: 3642268277 ISBN-13(EAN): 9783642268274
Издательство: Springer
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Цена: 40389.00 р.
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Описание: Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms.

Название: Oxford Handbook of Tropical Medicine (4th ed.)
ISBN: 0199692564 ISBN-13(EAN): 9780199692569
Издательство: Oxford Academ
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Цена: 5542.00 р.
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Описание: The new edition of this unique handbook continues to provide an accessible and comprehensive, signs-and-symptoms based source of information on medical problems commonly seen in the tropics. A practical guide to diagnosis and management for medical practitioners and students, it provides vital information at the reader`s fingertips.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: Pierce Benjamin A
Название: Genetics Essentials. Concepts and Connections. - 3th ed.
ISBN: 1464190755 ISBN-13(EAN): 9781464190759
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Derived from Ben Pierce's popular and acclaimed Genetics: A Conceptual Approach, this streamlined text covers basic transmission, molecular, and population genetics.