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  • Search: subject:"discrete Fourier transform"
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Year of publication
Subject
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Discrete Fourier transform 9 Whittle likelihood 6 nonstationarity 6 semiparametric estimation 6 fractional Brownian motion 5 fractional integration 4 Time series analysis 3 Zeitreihenanalyse 3 discrete Fourier transform 3 log periodogram regression 3 long memory 3 Estimation theory 2 Fractional integration 2 Long memory 2 Nichtparametrisches Verfahren 2 Nonparametric statistics 2 Nonstationarity 2 Regression analysis 2 Regressionsanalyse 2 Schätztheorie 2 Semiparametric estimation 2 Stochastic process 2 Stochastischer Prozess 2 long memory parameter 2 operator decomposition 2 unit root 2 Anisotropic Random Fields 1 Bias 1 Credit risk 1 Derivat 1 Derivative 1 Discrete Fourier Transform 1 Fractional Brownian Fields 1 Fractional Brownian motion 1 Grey relational analysis 1 Inconsistency 1 Intrinsically Stationary Random Fields 1 Kreditrisiko 1 Log periodogram regression 1 Long memory parameter 1
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Online availability
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Free 14 CC license 1
Type of publication
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Book / Working Paper 12 Article 2
Type of publication (narrower categories)
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Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4 Working Paper 4 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 13 Undetermined 1
Author
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Phillips, Peter C.B. 7 Shimotsu, Katsumi 5 Ackerer, Damien 1 Kang, Sang-Hee 1 Kang, Seung-Hwa 1 Kedong, Yin 1 Kim, Chang Sik 1 Martin, Gael M. 1 Matsuda, Yassumasa 1 Nadarajah, K. 1 Nam, Soon-Ryul 1 Phillips, Peter C. B. 1 Poskitt, Donald Stephen 1 Vatter, Thibault 1 Xuemei, Li 1 Yajima, Yoshihiro 1 Zhang, Ya 1
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Institution
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Cowles Foundation for Research in Economics, Yale University 7 Graduate School of Economics, Hitotsubashi University 1
Published in...
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Cowles Foundation Discussion Papers 7 Cowles Foundation discussion paper 1 Data science and service research discussion paper 1 Discussion Papers / Graduate School of Economics, Hitotsubashi University 1 Energies 1 Marine economics and management : MAEM 1 Research paper series / Swiss Finance Institute 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
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Source
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RePEc 9 ECONIS (ZBW) 5
Showing 1 - 10 of 14
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Gaussian semiparametric estimation of two-dimensional intrinsically stationary
Yajima, Yoshihiro; Matsuda, Yassumasa - 2023
Persistent link: https://www.econbiz.de/10014390443
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Discrete fourier transforms of fractional processes with econometric applications
Phillips, Peter C. B. - 2021
Persistent link: https://www.econbiz.de/10012807741
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Optimal bias correction of the logperiodogram estimator of the fractional paramete : a Jackknife Approach
Nadarajah, K.; Martin, Gael M.; Poskitt, Donald Stephen - 2019
Persistent link: https://www.econbiz.de/10012592265
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A new grey relational model based on discrete Fourier transform and its application on Chinese marine economic
Xuemei, Li; Zhang, Ya; Kedong, Yin - In: Marine economics and management : MAEM 1 (2018) 1, pp. 79-100
model based on discrete Fourier transform (DFTGRA). Findings - To verify its validity, feasibility and superiority, DFTGRA …
Persistent link: https://www.econbiz.de/10012258359
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Dependent defaults and losses with factor copula models
Ackerer, Damien; Vatter, Thibault - 2016
We present a class of flexible and tractable static factor models for the term structure of joint default probabilities, the factor copula models. These high-dimensional models remain parsimonious with pair-copula constructions, and nest many standard models as special cases. The loss...
Persistent link: https://www.econbiz.de/10011619282
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Real-Time Estimation of Power System Frequency Using a Three-Level Discrete Fourier Transform Method
Nam, Soon-Ryul; Kang, Seung-Hwa; Kang, Sang-Hee - In: Energies 8 (2014) 1, pp. 79-93
This paper proposes a three-level discrete Fourier transform (DFT) method to provide an accurate estimate of power …
Persistent link: https://www.econbiz.de/10011105441
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Exact Local Whittle Estimation of Fractionally Cointegrated Systems
Shimotsu, Katsumi - Graduate School of Economics, Hitotsubashi University - 2010
Semiparametric estimation of a bivariate fractionally cointegrated system is considered. We propose a two-step procedure that accommodates both (asymptotically) stationary (d<1/2) and nonstationary (d>=1/2) stochastic trend and/or equilibrium error. A tapered version of the local Whittle estimator of Robinson (2008) is...</1/2)>
Persistent link: https://www.econbiz.de/10008679192
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Log Periodogram Regression: The Nonstationary Case
Kim, Chang Sik; Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 2006
Estimation of the memory parameter (d) is considered for models of nonstationary fractionally integrated time series with d > (1/2). It is shown that the log periodogram regression estimator of d is inconsistent when 1 < d < 2 and is consistent when (1/2) < d = 1. For d > 1, the estimator is shown to converge in probability to unity.
Persistent link: https://www.econbiz.de/10005463987
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Exact Local Whittle Estimation of Fractional Integration
Shimotsu, Katsumi; Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 2002
An exact form of the local Whittle likelihood is studied with the intent of developing a general purpose estimation procedure for the memory parameter (d) that does not rely on tapering or differencing prefilters. The resulting exact local Whittle estimator is shown to be consistent and to have...
Persistent link: https://www.econbiz.de/10005593209
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Local Whittle Estimation in Nonstationary and Unit Root Cases
Shimotsu, Katsumi; Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 2000
Asymptotic properties of the local Whittle estimator in the nonstationary case (d > 1/2) are explored. For 1/2 < d < 1, the estimator is shown to be consistent, and its limit distribution and the rate of convergence depend on the value of d. For d = 1, the limit distribution is mixed normal. For d > 1 and when the process has a linear trend, the estimator is shown to be inconsistent and to converge in probability to unity.
Persistent link: https://www.econbiz.de/10004990709
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