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  • Search: subject:"sparse PCA"
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Year of publication
Subject
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sparse PCA 4 Factor analysis 3 Faktorenanalyse 3 Theorie 3 Theory 3 factor rotation 3 factor interpretation 2 factor model 2 identification 2 sparsity 2 Estimation 1 Forecasting model 1 Prognoseverfahren 1 Schätzung 1 Structural break 1 Strukturbruch 1 Time series analysis 1 Zeitreihenanalyse 1 block algorithms 1 dynamic factor models 1 gradient ascent 1 power method 1 strongly convex sets 1 structural break 1
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Online availability
All
Free 4
Type of publication
All
Book / Working Paper 3 Article 1
Type of publication (narrower categories)
All
Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 3 Undetermined 1
Author
All
Despois, Thomas 3 Doz, Catherine 3 Journée, Michel 1 Nesterov, Yurii 1 Richtarik, Peter 1 Sepulchre, Rodolphe 1
Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 1
Published in...
All
Working paper 2 CORE Discussion Papers 1 Journal of applied econometrics 1
Source
All
ECONIS (ZBW) 3 RePEc 1
Showing 1 - 4 of 4
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Identifying and interpreting the factors in factor models via sparsity : different approaches
Despois, Thomas; Doz, Catherine - In: Journal of applied econometrics 38 (2023) 4, pp. 533-555
Persistent link: https://www.econbiz.de/10014288017
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Indentifying and interpreting the factors in factor models via sparsity : different approaches
Despois, Thomas; Doz, Catherine - 2022 - This version: March 2, 2022
Persistent link: https://www.econbiz.de/10013207014
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Cover Image
Another look into the factor model black box : factor interpretation and structural (in)stability
Despois, Thomas; Doz, Catherine - 2019 - This version: February 4, 2020
Persistent link: https://www.econbiz.de/10012234615
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Cover Image
Generalized power method for sparse principal component analysis
Journée, Michel; Nesterov, Yurii; Richtarik, Peter; … - Center for Operations Research and Econometrics (CORE), … - 2008
In this paper we develop a new approach to sparse principal component analysis (sparse PCA). We propose two single …-unit and two block optimization formulations of the sparse PCA problem, aimed at extracting a single sparse dominant principal …
Persistent link: https://www.econbiz.de/10005008310
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