Time Series Modelling With Unobserved Components

Author : Matteo M. Pelagatti
Publisher : CRC Press
ISBN 13 : 1482225018
Total Pages : 275 pages
Book Rating : 4.13/5 ( download)

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Download or read book Time Series Modelling with Unobserved Components written by Matteo M. Pelagatti and published by CRC Press. This book was released on 2015-07-28 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved Components rectifies this deficiency by giving a practical o

Author : Matteo M. Pelagatti
Publisher : CRC Press
ISBN 13 : 9781032098432
Total Pages : 0 pages
Book Rating : 4.30/5 ( download)

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Download or read book Time Series Modelling with Unobserved Components written by Matteo M. Pelagatti and published by CRC Press. This book was released on 2021-06-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work focuses on the unobserved components model (UCM) approach rather than general state space modeling. It provides enough theory so that readers understand the underlying mechanisms while keeping the mathematical rigor to a minimum.

Author : Matteo Maria Pelagatti
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781482225006
Total Pages : 0 pages
Book Rating : 4.0X/5 ( download)

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Download or read book Time Series Modelling with Unobserved Components written by Matteo Maria Pelagatti and published by Chapman and Hall/CRC. This book was released on 2015-08-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unobserved Components Models (UCMs) are a special class of time series models that have many advantages compared with other models in that they tend to provide more accurate forecasts and can be easily implemented. This book provides an overview of time series modelling using UCMs with an emphasis on real-world applications and solutions to practical problems. Detailed worked examples, primarily from economics and business, provide additional guidance on the use of appropriate software for each method.

Author : Siem Jan Koopman
Publisher : Oxford University Press
ISBN 13 : 0191506575
Total Pages : 384 pages
Book Rating : 4.74/5 ( download)

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Download or read book Unobserved Components and Time Series Econometrics written by Siem Jan Koopman and published by Oxford University Press. This book was released on 2015-11-19 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and methodological perspectives. It also presents empirical studies where the UC time series methodology is adopted. Drawing on the intellectual influence of Andrew Harvey, the work covers three main topics: the theory and methodology for unobserved components time series models; applications of unobserved components time series models; and time series econometrics and estimation and testing. These types of time series models have seen wide application in economics, statistics, finance, climate change, engineering, biostatistics, and sports statistics. The volume effectively provides a key review into relevant research directions for UC time series econometrics and will be of interest to econometricians, time series statisticians, and practitioners (government, central banks, business) in time series analysis and forecasting, as well to researchers and graduate students in statistics, econometrics, and engineering.

Author : Andrew C. Harvey
Publisher : Cambridge University Press
ISBN 13 : 9780521405737
Total Pages : 574 pages
Book Rating : 4.34/5 ( download)

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Download or read book Forecasting, Structural Time Series Models and the Kalman Filter written by Andrew C. Harvey and published by Cambridge University Press. This book was released on 1990 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: A synthesis of concepts and materials, that ordinarily appear separately in time series and econometrics literature, presents a comprehensive review of theoretical and applied concepts in modeling economic and social time series.

Author : Mike West
Publisher : Springer Science & Business Media
ISBN 13 : 1475793650
Total Pages : 720 pages
Book Rating : 4.59/5 ( download)

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Download or read book Bayesian Forecasting and Dynamic Models written by Mike West and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book we are concerned with Bayesian learning and forecast ing in dynamic environments. We describe the structure and theory of classes of dynamic models, and their uses in Bayesian forecasting. The principles, models and methods of Bayesian forecasting have been developed extensively during the last twenty years. This devel opment has involved thorough investigation of mathematical and sta tistical aspects of forecasting models and related techniques. With this has come experience with application in a variety of areas in commercial and industrial, scientific and socio-economic fields. In deed much of the technical development has been driven by the needs of forecasting practitioners. As a result, there now exists a relatively complete statistical and mathematical framework, although much of this is either not properly documented or not easily accessible. Our primary goals in writing this book have been to present our view of this approach to modelling and forecasting, and to provide a rea sonably complete text for advanced university students and research workers. The text is primarily intended for advanced undergraduate and postgraduate students in statistics and mathematics. In line with this objective we present thorough discussion of mathematical and statistical features of Bayesian analyses of dynamic models, with illustrations, examples and exercises in each Chapter.

Author : Andrew C. Harvey
Publisher : Oxford University Press on Demand
ISBN 13 : 0199278695
Total Pages : 475 pages
Book Rating : 4.95/5 ( download)

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Download or read book Readings in Unobserved Components Models written by Andrew C. Harvey and published by Oxford University Press on Demand. This book was released on 2005 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. The book is intended to give a self-contained presentation of the methods and applicative issues. Harvey has made major contributions to this field and provides substantial introductions throughout the book to form a unified view of the literature. - ;This book presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with th.

Author : C. Planas
Publisher :
ISBN 13 : 9789282815724
Total Pages : 172 pages
Book Rating : 4.22/5 ( download)

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Download or read book Applied Time Series Analysis written by C. Planas and published by . This book was released on 1997-01-01 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The general purpose of this textbook is to provide analysts in statistical institutes with a unified view of applied analysis of time series as can be conducted in the framework of linear stochastic models of the ARIMA-type. The issues discussed are modelling and forecasting, filtering, signal extraction and unobserved components analysis, and regression in time series models. The main concern is to help readers in understanding some important tools that progress in statistical theory has made available. Emphasis is thus put on practical aspects, and readers will find implementations of the techniques described in software such as SEATS-TRAMO (see Gomez and Maravall, 1996) and X-12 ARIMA (see Findley et al., 1996)".

Author : John C. Brocklebank, Ph.D.
Publisher : SAS Institute
ISBN 13 : 1629605441
Total Pages : 384 pages
Book Rating : 4.49/5 ( download)

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Download or read book SAS for Forecasting Time Series, Third Edition written by John C. Brocklebank, Ph.D. and published by SAS Institute. This book was released on 2018-03-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures. Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: ARIMA models Vector autoregressive models Exponential smoothing models Unobserved component and state-space models Seasonal adjustment Spectral analysis Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition: The ARIMA procedure The AUTOREG procedure The VARMAX procedure The ESM procedure The UCM and SSM procedures The X13 procedure The SPECTRA procedure SAS Forecast Studio Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs. This book is part of the SAS Press program.

Author : Olga Valenzuela
Publisher : Springer Nature
ISBN 13 : 3030562190
Total Pages : 460 pages
Book Rating : 4.99/5 ( download)

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Download or read book Theory and Applications of Time Series Analysis written by Olga Valenzuela and published by Springer Nature. This book was released on 2020-11-20 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathematical methods, and on econometric models, financial forecasting and risk analysis. The remaining four parts include practical contributions on time series analysis in energy; complex/big data time series and forecasting; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix of topics, readers will acquire a more comprehensive perspective on the field of time series analysis and forecasting. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.