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Time Series - Modeling, Computation, and Inference, Second Edition (2nd edition)
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Time Series - Modeling, Computation, and Inference, Second Edition (2nd edition)
Series: Chapman & Hall/CRC Texts in Statistical Science
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Focusing on Bayesian approaches and computations using analytic and
simulation-based methods for inference, Time Series: Modeling,
Computation, and Inference, Second Edition integrates mainstream
approaches for time series modeling with significant recent
developments in methodology and applications of time series
analysis. It encompasses a graduate-level account of Bayesian time
series modeling, analysis and forecasting, a broad range of
references to state-of-the-art approaches to univariate and
multivariate time series analysis, and contacts research frontiers
in multivariate time series modeling and forecasting. It presents
overviews of several classes of models and related methodology for
inference, statistical computation for model fitting and
assessment, and forecasting. It explores the connections between
time- and frequency-domain approaches and develop various models
and analyses using Bayesian formulations and computation, including
use of computations based on Markov chain Monte Carlo (MCMC) and
sequential Monte Carlo (SMC) methods. It illustrates the models and
methods with examples and case studies from a variety of fields,
including signal processing, biomedicine, environmental science,
and finance. Along with core models and methods, the book
represents state-of-the art approaches to analysis and forecasting
in challenging time series problems. It also demonstrates the
growth of time series analysis into new application areas in recent
years, and contacts recent and relevant modeling developments and
research challenges. New in the second edition: Expanded on aspects
of core model theory and methodology. Multiple new examples and
exercises. Detailed development of dynamic factor models. Updated
discussion and connections with recent and current research
frontiers.
General
Imprint: |
Taylor & Francis
|
Country of origin: |
United Kingdom |
Series: |
Chapman & Hall/CRC Texts in Statistical Science |
Release date: |
September 2023 |
First published: |
2021 |
Authors: |
Raquel Prado
• Marco A. R. Ferreira
• Mike West
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Dimensions: |
234 x 156mm (L x W) |
Pages: |
452 |
Edition: |
2nd edition |
ISBN-13: |
978-1-03-204004-2 |
Categories: |
Books
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LSN: |
1-03-204004-1 |
Barcode: |
9781032040042 |
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