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  • Search: subject:"Whittaker–Henderson method of graduation"
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Year of publication
Subject
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Time series analysis 4 Zeitreihenanalyse 4 Estimation theory 3 Schätztheorie 3 Business cycle 2 Hodrick–Prescott filtering 2 Konjunktur 2 Lasso regression 2 Regression analysis 2 Regressionsanalyse 2 Whittaker-Henderson method of graduation 2 Whittaker–Henderson method of graduation 2 basis pursuit denoising 2 total variation denoising 2 ℓ1 trend filtering 2 Hodrick-Prescott filter 1 Hodrick-Prescott filtering 1 Multiple Regression 1 Multiple regression 1 Theorie 1 Theory 1 cubic smoothing spline 1 generalized ridge regression 1 hodrick-prescott filter 1 linear trend 1 low-frequency component 1 lowpass filter 1 multiple regression 1 pentadiagonal toeplitz matrix 1 smoother weights 1 whittaker-henderson method of graduation 1
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Undetermined 3 Free 2
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
Language
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English 5
Author
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Yamada, Hiroshi 5 Du, Ruixue 2 Jahra, Fatima Tuj 1
Published in...
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet 2 Applied economics letters 1 Econometrics 1 Econometrics : open access journal 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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HPX filter : a hybrid of Hodrick-Prescott filter and multiple regression
Yamada, Hiroshi - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 28 (2024) 4, pp. 661-671
Persistent link: https://www.econbiz.de/10015123209
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Some results on ℓ1 polynomial trend filtering
Yamada, Hiroshi; Du, Ruixue - In: Econometrics 6 (2018) 3, pp. 1-10
ℓ1 polynomial trend filtering, which is a filtering method described as an ℓ1-norm penalized least-squares problem, is promising because it enables the estimation of a piecewise polynomial trend in a univariate economic time series without prespecifying the number and location of knots. This...
Persistent link: https://www.econbiz.de/10011995228
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Some results on ℓ1 polynomial trend filtering
Yamada, Hiroshi; Du, Ruixue - In: Econometrics : open access journal 6 (2018) 3, pp. 1-10
ℓ1 polynomial trend filtering, which is a filtering method described as an ℓ1-norm penalized least-squares problem, is promising because it enables the estimation of a piecewise polynomial trend in a univariate economic time series without prespecifying the number and location of knots. This...
Persistent link: https://www.econbiz.de/10011887661
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An explicit formula for the smoother weights of the Hodrick-Prescott filter
Yamada, Hiroshi; Jahra, Fatima Tuj - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 23 (2019) 5, pp. 1-10
Persistent link: https://www.econbiz.de/10012198467
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Why does the trend extracted by the Hodrick-Prescott filtering seem to be more plausible than the linear trend?
Yamada, Hiroshi - In: Applied economics letters 25 (2018) 2, pp. 102-105
Persistent link: https://www.econbiz.de/10011853703
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