Bayesian Analysis of Time Series, Broemeling, Lyle D. (Medical Lake, Washington, USA)

Автор: Korb, Kevin B. Nicholson, Ann E.
Название: Bayesian artificial intelligence
ISBN: 1032477652 ISBN-13(EAN): 9781032477657
Издательство: Taylor&Francis
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Цена: 7042.00 р.
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Описание: The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new

Автор: Suhir, Ephraim
Название: Human-in-the-loop
ISBN: 081535455X ISBN-13(EAN): 9780815354550
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book covers probabilistic predictive modeling in human-in-the-loop situations in aerospace engineering. Situations when human performance and equipment reliability contribute jointly to the success and safety of an aerospace mission. This new approach can be adapted across other disciplines as well.

Автор: Matthias Kaeding
Название: Bayesian Analysis of Failure Time Data Using P-Splines
ISBN: 3658083921 ISBN-13(EAN): 9783658083922
Издательство: Springer
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Цена: 9141.00 р.
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Описание: Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions.

Автор: Pole, Andy , West, Mike , Harrison, Jeff
Название: Applied Bayesian Forecasting and Time Series Analysis
ISBN: 0367449382 ISBN-13(EAN): 9780367449384
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: This book is about practical forecasting and analysis of time series. It describes how to analyse time series data, how to identify structure, how to explain observed behaviour, how to model structures and behaviours, and how to use insight gained from the analysis to make informed forecasts.

Автор: Broemeling, Lyle D.
Название: Bayesian analysis of infectious diseases
ISBN: 0367633868 ISBN-13(EAN): 9780367633868
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 14573.00 р.
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Автор: David Rios Insua; Fabrizio Ruggeri
Название: Robust Bayesian Analysis
ISBN: 0387988661 ISBN-13(EAN): 9780387988665
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss.

Автор: Del Moral
Название: Mean Field Simulation for Monte Carlo Integration
ISBN: 1138198730 ISBN-13(EAN): 9781138198739
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание:

In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to parallel and distributed computation, these advanced particle algorithms include nonlinear interacting jump diffusions; quantum, diffusion, and resampled Monte Carlo methods; Feynman-Kac particle models; genetic and evolutionary algorithms; sequential Monte Carlo methods; adaptive and interacting Markov chain Monte Carlo models; bootstrapping methods; ensemble Kalman filters; and interacting particle filters.

Mean Field Simulation for Monte Carlo Integration presents the first comprehensive and modern mathematical treatment of mean field particle simulation models and interdisciplinary research topics, including interacting jumps and McKean-Vlasov processes, sequential Monte Carlo methodologies, genetic particle algorithms, genealogical tree-based algorithms, and quantum and diffusion Monte Carlo methods.

Along with covering refined convergence analysis on nonlinear Markov chain models, the author discusses applications related to parameter estimation in hidden Markov chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty propagations in numerical codes, rare event simulation, financial mathematics, and free energy and quasi-invariant measures arising in computational physics and population biology.

This book shows how mean field particle simulation has revolutionized the field of Monte Carlo integration and stochastic algorithms. It will help theoretical probability researchers, applied statisticians, biologists, statistical physicists, and computer scientists work better across their own disciplinary boundaries.

Автор: Siu-Kui Au
Название: Operational Modal Analysis
ISBN: 9811350531 ISBN-13(EAN): 9789811350535
Издательство: Springer
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Цена: 34937.00 р.
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Описание: This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications.

Автор: Yang, Harry Novick, Steven
Название: Bayesian analysis with r for drug development
ISBN: 1032177861 ISBN-13(EAN): 9781032177861
Издательство: Taylor&Francis
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Цена: 5970.00 р.
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Описание: Few books deal with issues faced by researchers in the areas of pre-clinical animal studies, analytical method and process development, manufacturing control, the implementation of Bayesian applications for pharmaceutical problems, using modern computational tools such as R. This book does.

Автор: Broemeling,
Название: Bayesian Analysis of Linear Models
ISBN: 0367451743 ISBN-13(EAN): 9780367451745
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: This book presents the basic theory of linear models from a Bayesian viewpoint. It is unique in that time series models such as autoregressive moving average processes are treated as linear models in the same way the general linear model is examined.

Автор: Todd E. Hudson
Название: Bayesian Data Analysis for the Behavioral and Neural Sciences
ISBN: 1108835562 ISBN-13(EAN): 9781108835565
Издательство: Cambridge Academ
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Цена: 15838.00 р.
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Описание: This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses non-calculus-based mathematics with examples specific to behavioral and neural sciences. Perfect for statistics courses, it shows students how to write code for their own data analyses, even those involving individual differences.