Whittle Pseudo Maximum Likelihood Estimation For Nonstationary Time Series

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Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series - (Now Published in Journal of the American Statistical Association, 95, (2000), Pp.1229-1243.).

Download Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series - (Now Published in Journal of the American Statistical Association, 95, (2000), Pp.1229-1243.). PDF Online Free

Author : Carlos Velasco
Publisher :
ISBN 13 :
Total Pages : 35 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series - (Now Published in Journal of the American Statistical Association, 95, (2000), Pp.1229-1243.). by : Carlos Velasco

Download or read book Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series - (Now Published in Journal of the American Statistical Association, 95, (2000), Pp.1229-1243.). written by Carlos Velasco and published by . This book was released on 2008 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whittle pseudo-maximum likelihood estimates of parameters for stationary time series have been found to be consistent and asumptotically normal in the presence of long-range dependence. Generalizing the definition of the memory parameter d, we extend these results to include possibly nonstationary (0.5 = d lt; 1) or antipersistent (-0.5 lt; d lt; 0) observations. Using adequate data tapers we can apply this estimation technique to any degree of nonstationarity d = 0.5 without prior knowledge of the memory of the series. We analyse the performance of the estimates on simulated and real data.

Whittle Pseudo-maximum Likelihood Estimation for Nonstationary Time Series

Author : Carlos Velasco
Publisher :
ISBN 13 :
Total Pages : 31 pages
Book Rating : 4.:/5 (247 download)

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Book Synopsis Whittle Pseudo-maximum Likelihood Estimation for Nonstationary Time Series by : Carlos Velasco

Download or read book Whittle Pseudo-maximum Likelihood Estimation for Nonstationary Time Series written by Carlos Velasco and published by . This book was released on 2000 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Time Series with Long Memory

Author : Peter M. Robinson
Publisher : Advanced Texts in Econometrics
ISBN 13 : 9780199257300
Total Pages : 396 pages
Book Rating : 4.2/5 (573 download)

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Book Synopsis Time Series with Long Memory by : Peter M. Robinson

Download or read book Time Series with Long Memory written by Peter M. Robinson and published by Advanced Texts in Econometrics. This book was released on 2003 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long memory time series are characterized by a strong dependence between distant events.

Mathematical Foundations of Time Series Analysis

Author : Jan Beran
Publisher : Springer
ISBN 13 : 3319743805
Total Pages : 309 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Mathematical Foundations of Time Series Analysis by : Jan Beran

Download or read book Mathematical Foundations of Time Series Analysis written by Jan Beran and published by Springer. This book was released on 2018-03-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis. It appeals to anybody wanting to understand time series in a precise, mathematical manner. It is suitable for graduate courses in time series analysis but is equally useful as a reference work for students and researchers alike.

Time Series Analysis

Author : Katsuto Tanaka
Publisher : John Wiley & Sons
ISBN 13 : 1119132134
Total Pages : 1139 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Time Series Analysis by : Katsuto Tanaka

Download or read book Time Series Analysis written by Katsuto Tanaka and published by John Wiley & Sons. This book was released on 2017-03-27 with total page 1139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflects the developments and new directions in the field since the publication of the first successful edition and contains a complete set of problems and solutions This revised and expanded edition reflects the developments and new directions in the field since the publication of the first edition. In particular, sections on nonstationary panel data analysis and a discussion on the distinction between deterministic and stochastic trends have been added. Three new chapters on long-memory discrete-time and continuous-time processes have also been created, whereas some chapters have been merged and some sections deleted. The first eleven chapters of the first edition have been compressed into ten chapters, with a chapter on nonstationary panel added and located under Part I: Analysis of Non-fractional Time Series. Chapters 12 to 14 have been newly written under Part II: Analysis of Fractional Time Series. Chapter 12 discusses the basic theory of long-memory processes by introducing ARFIMA models and the fractional Brownian motion (fBm). Chapter 13 is concerned with the computation of distributions of quadratic functionals of the fBm and its ratio. Next, Chapter 14 introduces the fractional Ornstein–Uhlenbeck process, on which the statistical inference is discussed. Finally, Chapter 15 gives a complete set of solutions to problems posed at the end of most sections. This new edition features: • Sections to discuss nonstationary panel data analysis, the problem of differentiating between deterministic and stochastic trends, and nonstationary processes of local deviations from a unit root • Consideration of the maximum likelihood estimator of the drift parameter, as well as asymptotics as the sampling span increases • Discussions on not only nonstationary but also noninvertible time series from a theoretical viewpoint • New topics such as the computation of limiting local powers of panel unit root tests, the derivation of the fractional unit root distribution, and unit root tests under the fBm error Time Series Analysis: Nonstationary and Noninvertible Distribution Theory, Second Edition, is a reference for graduate students in econometrics or time series analysis. Katsuto Tanaka, PhD, is a professor in the Faculty of Economics at Gakushuin University and was previously a professor at Hitotsubashi University. He is a recipient of the Tjalling C. Koopmans Econometric Theory Prize (1996), the Japan Statistical Society Prize (1998), and the Econometric Theory Award (1999). Aside from the first edition of Time Series Analysis (Wiley, 1996), Dr. Tanaka had published five econometrics and statistics books in Japanese.

Time Series Analysis with Long Memory in View

Author : Uwe Hassler
Publisher : John Wiley & Sons
ISBN 13 : 1119470285
Total Pages : 292 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Time Series Analysis with Long Memory in View by : Uwe Hassler

Download or read book Time Series Analysis with Long Memory in View written by Uwe Hassler and published by John Wiley & Sons. This book was released on 2018-09-07 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long memory and fractional integration, which are embedded into the general framework. It presents the general theory of time series, including some issues that are not treated in other books on time series, such as ergodicity, persistence versus memory, asymptotic properties of the periodogram, and Whittle estimation. Further chapters address the general functional central limit theory, parametric and semiparametric estimation of the long memory parameter, and locally optimal tests. Intuitive and easy to read, Time Series Analysis with Long Memory in View offers chapters that cover: Stationary Processes; Moving Averages and Linear Processes; Frequency Domain Analysis; Differencing and Integration; Fractionally Integrated Processes; Sample Means; Parametric Estimators; Semiparametric Estimators; and Testing. It also discusses further topics. This book: Offers beginning-of-chapter examples as well as end-of-chapter technical arguments and proofs Contains many new results on long memory processes which have not appeared in previous and existing textbooks Takes a basic mathematics (Calculus) approach to the topic of time series analysis with long memory Contains 25 illustrative figures as well as lists of notations and acronyms Time Series Analysis with Long Memory in View is an ideal text for first year PhD students, researchers, and practitioners in statistics, econometrics, and any application area that uses time series over a long period. It would also benefit researchers, undergraduates, and practitioners in those areas who require a rigorous introduction to time series analysis.

Palgrave Handbook of Econometrics

Author : Terence C. Mills
Publisher : Springer
ISBN 13 : 0230244408
Total Pages : 1406 pages
Book Rating : 4.2/5 (32 download)

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Book Synopsis Palgrave Handbook of Econometrics by : Terence C. Mills

Download or read book Palgrave Handbook of Econometrics written by Terence C. Mills and published by Springer. This book was released on 2009-06-25 with total page 1406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following theseminal Palgrave Handbook of Econometrics: Volume I , this second volume brings together the finestacademicsworking in econometrics today andexploresapplied econometrics, containing contributions onsubjects includinggrowth/development econometrics and applied econometrics and computing.

Time Series with Mixed Spectra

Author : Ta-Hsin Li
Publisher : CRC Press
ISBN 13 : 1420010069
Total Pages : 648 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Time Series with Mixed Spectra by : Ta-Hsin Li

Download or read book Time Series with Mixed Spectra written by Ta-Hsin Li and published by CRC Press. This book was released on 2016-04-19 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time series with mixed spectra are characterized by hidden periodic components buried in random noise. Despite strong interest in the statistical and signal processing communities, no book offers a comprehensive and up-to-date treatment of the subject. Filling this void, Time Series with Mixed Spectra focuses on the methods and theory for the stati

Selected Papers on Analysis and Related Topics

Author :
Publisher : American Mathematical Soc.
ISBN 13 : 9780821839287
Total Pages : 190 pages
Book Rating : 4.8/5 (392 download)

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Book Synopsis Selected Papers on Analysis and Related Topics by :

Download or read book Selected Papers on Analysis and Related Topics written by and published by American Mathematical Soc.. This book was released on 2008 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains translations of papers that originally appeared in the Japanese journal 'Sugaku'. The papers range over a variety of topics, including operator algebras, analysis, and statistics.

Unit Roots and Structural Breaks

Author : Pierre Perron
Publisher : MDPI
ISBN 13 : 3038428116
Total Pages : 167 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Unit Roots and Structural Breaks by : Pierre Perron

Download or read book Unit Roots and Structural Breaks written by Pierre Perron and published by MDPI. This book was released on 2018-04-13 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Unit Roots and Structural Breaks" that was published in Econometrics

Large Sample Inference For Long Memory Processes

Author : Donatas Surgailis
Publisher : World Scientific Publishing Company
ISBN 13 : 1911299387
Total Pages : 594 pages
Book Rating : 4.9/5 (112 download)

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Book Synopsis Large Sample Inference For Long Memory Processes by : Donatas Surgailis

Download or read book Large Sample Inference For Long Memory Processes written by Donatas Surgailis and published by World Scientific Publishing Company. This book was released on 2012-04-27 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Box and Jenkins (1970) made the idea of obtaining a stationary time series by differencing the given, possibly nonstationary, time series popular. Numerous time series in economics are found to have this property. Subsequently, Granger and Joyeux (1980) and Hosking (1981) found examples of time series whose fractional difference becomes a short memory process, in particular, a white noise, while the initial series has unbounded spectral density at the origin, i.e. exhibits long memory.Further examples of data following long memory were found in hydrology and in network traffic data while in finance the phenomenon of strong dependence was established by dramatic empirical success of long memory processes in modeling the volatility of the asset prices and power transforms of stock market returns.At present there is a need for a text from where an interested reader can methodically learn about some basic asymptotic theory and techniques found useful in the analysis of statistical inference procedures for long memory processes. This text makes an attempt in this direction. The authors provide in a concise style a text at the graduate level summarizing theoretical developments both for short and long memory processes and their applications to statistics. The book also contains some real data applications and mentions some unsolved inference problems for interested researchers in the field./a

State Space and Unobserved Component Models

Author : James Durbin
Publisher : Cambridge University Press
ISBN 13 : 9780521835954
Total Pages : 398 pages
Book Rating : 4.8/5 (359 download)

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Book Synopsis State Space and Unobserved Component Models by : James Durbin

Download or read book State Space and Unobserved Component Models written by James Durbin and published by Cambridge University Press. This book was released on 2004-06-10 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of developments in the theory and application of state space modeling, first published in 2004.

Recent Developments in Time Series

Author : Paul Newbold
Publisher : Edward Elgar Publishing
ISBN 13 :
Total Pages : 632 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Recent Developments in Time Series by : Paul Newbold

Download or read book Recent Developments in Time Series written by Paul Newbold and published by Edward Elgar Publishing. This book was released on 2003 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume one includes sections on unit root and stationarity tests; cointegration; structural breaks; nonlinearity; and long memory. Volume two covers conditional heteroskedasticity; stochastic volatility; unobserved components; trend function analysis; prediction; seasonality; and causality.

Handbook on Information Technology in Finance

Author : Detlef Seese
Publisher : Springer Science & Business Media
ISBN 13 : 3540494871
Total Pages : 812 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Handbook on Information Technology in Finance by : Detlef Seese

Download or read book Handbook on Information Technology in Finance written by Detlef Seese and published by Springer Science & Business Media. This book was released on 2008-05-27 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook contains surveys of state-of-the-art concepts, systems, applications, best practices as well as contemporary research in the intersection between IT and finance. Included are recent trends and challenges, IT systems and architectures in finance, essential developments and case studies on management information systems, and service oriented architecture modeling. The book shows a broad range of applications, e.g. in banking, insurance, trading and in non-financial companies. Essentially, all aspects of IT in finance are covered.

Long-Memory Processes

Author : Jan Beran
Publisher : Springer Science & Business Media
ISBN 13 : 3642355129
Total Pages : 892 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Long-Memory Processes by : Jan Beran

Download or read book Long-Memory Processes written by Jan Beran and published by Springer Science & Business Media. This book was released on 2013-05-14 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such processes. This book provides a timely and comprehensive review, including a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Proofs of the main theorems are provided and data examples illustrate practical aspects. This book will be a valuable resource for researchers and graduate students in statistics, mathematics, econometrics and other quantitative areas, as well as for practitioners and applied researchers who need to analyze data in which long memory, power laws, self-similar scaling or fractal properties are relevant.

Essays in Honor of Joon Y. Park

Author : Yoosoon Chang
Publisher : Emerald Group Publishing
ISBN 13 : 1837532109
Total Pages : 360 pages
Book Rating : 4.8/5 (375 download)

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Book Synopsis Essays in Honor of Joon Y. Park by : Yoosoon Chang

Download or read book Essays in Honor of Joon Y. Park written by Yoosoon Chang and published by Emerald Group Publishing. This book was released on 2023-04-24 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes 45a and 45b of Advances in Econometrics honor Professor Joon Y. Park, who has made numerous and substantive contributions to the field of econometrics over a career spanning four decades since the 1980s and counting.

Long-Memory Time Series

Author : Wilfredo Palma
Publisher : John Wiley & Sons
ISBN 13 : 0470131454
Total Pages : 306 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Long-Memory Time Series by : Wilfredo Palma

Download or read book Long-Memory Time Series written by Wilfredo Palma and published by John Wiley & Sons. This book was released on 2007-04-27 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained, contemporary treatment of the analysis of long-range dependent data Long-Memory Time Series: Theory and Methods provides an overview of the theory and methods developed to deal with long-range dependent data and describes the applications of these methodologies to real-life time series. Systematically organized, it begins with the foundational essentials, proceeds to the analysis of methodological aspects (Estimation Methods, Asymptotic Theory, Heteroskedastic Models, Transformations, Bayesian Methods, and Prediction), and then extends these techniques to more complex data structures. To facilitate understanding, the book: Assumes a basic knowledge of calculus and linear algebra and explains the more advanced statistical and mathematical concepts Features numerous examples that accelerate understanding and illustrate various consequences of the theoretical results Proves all theoretical results (theorems, lemmas, corollaries, etc.) or refers readers to resources with further demonstration Includes detailed analyses of computational aspects related to the implementation of the methodologies described, including algorithm efficiency, arithmetic complexity, CPU times, and more Includes proposed problems at the end of each chapter to help readers solidify their understanding and practice their skills A valuable real-world reference for researchers and practitioners in time series analysis, economerics, finance, and related fields, this book is also excellent for a beginning graduate-level course in long-memory processes or as a supplemental textbook for those studying advanced statistics, mathematics, economics, finance, engineering, or physics. A companion Web site is available for readers to access the S-Plus and R data sets used within the text.