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  • Search: subject:"Sparse Group Lasso"
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Subject
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Estimation theory 3 Schätztheorie 3 Time series analysis 3 Zeitreihenanalyse 3 Artificial intelligence 2 Estimation 2 Fat tails 2 Forecasting model 2 Künstliche Intelligenz 2 Mixed-frequency data 2 Panel 2 Panel study 2 Prognoseverfahren 2 Regression analysis 2 Regressionsanalyse 2 Schätzung 2 Sparse Group Lasso 2 Sparse group lasso 2 Sparse-group LASSO 2 Statistical test 2 Statistischer Test 2 sparse-group LASSO 2 ARCH model 1 ARCH-Modell 1 Additive models 1 Börsenkurs 1 Causality analysis 1 Classification 1 Coordinate gradient descent 1 Fuk-Nagaev inequality 1 Gewinn 1 Granger causality 1 Group Lasso 1 Group-wise sparsity 1 HAC estimator 1 High dimensional data analysis 1 High-dimensional panels 1 High-dimensional time series 1 Induktive Statistik 1 Kausalanalyse 1
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Undetermined 9
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Article 9
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6
Language
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English 6 Undetermined 3
Author
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Babii, Andrii 4 Ghysels, Eric 4 Striaukas, Jonas 4 Ball, Ryan T. 2 Feng, Sanying 1 Fermanian, Jean-David 1 Hansen, Niels Richard 1 Jiang, Jiao-Jiao 1 Lian, Heng 1 Poignard, Benjamin 1 Vincent, Martin 1 Wang, Qing 1 Zhang, Hai-Bin 1 Zhao, Dan 1 Zhao, Kaifeng 1 Zhao, Yun-Bin 1
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Published in...
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Computational Optimization and Applications 1 Computational Statistics & Data Analysis 1 Econometric reviews 1 Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria 1 Journal of Multivariate Analysis 1 Journal of applied econometrics 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of econometrics 1 Journal of financial econometrics 1
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Source
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ECONIS (ZBW) 6 RePEc 3
Showing 1 - 9 of 9
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Panel data nowcasting : the case of price-earnings ratios
Babii, Andrii; Ball, Ryan T.; Ghysels, Eric; Striaukas, … - In: Journal of applied econometrics 39 (2024) 2, pp. 292-307
Persistent link: https://www.econbiz.de/10014517329
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High-dimensional granger causality tests with an application to VIX and news
Babii, Andrii; Ghysels, Eric; Striaukas, Jonas - In: Journal of financial econometrics 22 (2024) 3, pp. 605-635
Persistent link: https://www.econbiz.de/10015045166
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Machine learning panel data regressions with heavy-tailed dependent data : theory and application
Babii, Andrii; Ball, Ryan T.; Ghysels, Eric; Striaukas, … - In: Journal of econometrics 237 (2023) 2,3, pp. 1-25
Persistent link: https://www.econbiz.de/10014471811
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Machine learning time series regressions with an application to nowcasting
Babii, Andrii; Ghysels, Eric; Striaukas, Jonas - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 3, pp. 1094-1106
Persistent link: https://www.econbiz.de/10013539458
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High-dimensional penalized arch processes
Poignard, Benjamin; Fermanian, Jean-David - In: Econometric reviews 40 (2021) 1, pp. 86-107
Persistent link: https://www.econbiz.de/10012483797
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Penalization methods with group-wise sparsity : econometric applications to eBay Motors online auctions
Wang, Qing; Zhao, Dan - In: Empirical economics : a journal of the Institute for … 57 (2019) 2, pp. 683-704
Persistent link: https://www.econbiz.de/10012056733
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Parametric and semiparametric reduced-rank regression with flexible sparsity
Lian, Heng; Feng, Sanying; Zhao, Kaifeng - In: Journal of Multivariate Analysis 136 (2015) C, pp. 163-174
We consider joint rank and variable selection in multivariate regression. Previously proposed joint rank and variable selection approaches assume that different responses are related to the same set of variables, which suggests using a group penalty on the rows of the coefficient matrix....
Persistent link: https://www.econbiz.de/10011208474
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On the proximal Landweber Newton method for a class of nonsmooth convex problems
Zhang, Hai-Bin; Jiang, Jiao-Jiao; Zhao, Yun-Bin - In: Computational Optimization and Applications 61 (2015) 1, pp. 79-99
of problems has many applications in variable selections such as the group LASSO and sparse group LASSO. In this paper …
Persistent link: https://www.econbiz.de/10011241278
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Sparse group lasso and high dimensional multinomial classification
Vincent, Martin; Hansen, Niels Richard - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 771-786
The sparse group lasso optimization problem is solved using a coordinate gradient descent algorithm. The algorithm is … investigate the performance of the multinomial sparse group lasso classifier. On three different real data examples the … including fewer features for the classification. An implementation of the multinomial sparse group lasso algorithm is available …
Persistent link: https://www.econbiz.de/10011056479
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