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  • Search: subject:"Total variation denoising"
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Year of publication
Subject
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Estimation theory 3 Lasso regression 3 Regression analysis 3 Regressionsanalyse 3 Schätztheorie 3 Time series analysis 3 Total variation denoising 3 Zeitreihenanalyse 3 Hodrick-Prescott filtering 2 Hodrick–Prescott filtering 2 Whittaker–Henderson method of graduation 2 basis pursuit denoising 2 l1 trend filtering 2 total variation denoising 2 ℓ1 trend filtering 2 1d fused lasso 1 Block variables decomposition 1 Common trend 1 Decomposition method 1 Dekompositionsverfahren 1 Dual based methods 1 Generalized lasso regression 1 Kleinste-Quadrate-Methode 1 Least squares method 1 Mathematical programming 1 Mathematische Optimierung 1 Penalized least squares 1 Reduced rank regression 1 Ridge regression 1 Theorie 1 Theory 1
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Online availability
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Free 3 Undetermined 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 4 Du, Ruixue 2 Bao, Ruoyi 1 Beck, Amir 1 Shemtov, Ariel 1 Vasibourd, Yakov 1
Published in...
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Computational economics 1 Econometrics 1 Econometrics : open access journal 1 Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria 1 Operations research letters 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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L1 common trend filtering
Yamada, Hiroshi; Bao, Ruoyi - In: Computational economics 59 (2022) 3, pp. 1005-1025
Persistent link: https://www.econbiz.de/10013169212
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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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A trend filtering method closely related to l1 trend filtering
Yamada, Hiroshi - In: Empirical economics : a journal of the Institute for … 55 (2018) 4, pp. 1413-1423
Persistent link: https://www.econbiz.de/10011950263
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Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problems
Beck, Amir; Vasibourd, Yakov; Shemtov, Ariel - In: Operations research letters 44 (2016) 1, pp. 61-66
Persistent link: https://www.econbiz.de/10011455573
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