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type_genre:"Government document"
type_genre:"Kongressschrift"
~person:"Croux, Christophe"
~subject:"Regression analysis"
~type_genre:"Working Paper"
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Croux, Christophe
Dette, Holger
39
Härdle, Wolfgang
38
Phillips, Peter C. B.
32
Gao, Jiti
20
Chernozhukov, Victor
19
Weidner, Martin
14
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Yang, Lijian
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Fernández-Val, Iván
9
Hansen, Christian Bailey
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Arnold, Bernhard
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Cattaneo, Matias D.
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Feng, Yuanhua
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7
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1
Commodity dynamics : a sparse multi-class approach
Barbaglia, L.
;
Wilms, I.
;
Croux, Christophe
-
2016
Persistent link: https://www.econbiz.de/10011658741
Saved in:
2
Multi-class vector autoregressive models for multi-store sales data
Wilms, I.
;
Barbaglia, L.
;
Croux, Christophe
-
2016
Persistent link: https://www.econbiz.de/10011658937
Saved in:
3
Sparse partial robust M regression
Hoffmann, Irene
;
Serneels, Sven
;
Filzmoser, Peter
; …
-
2015
Persistent link: https://www.econbiz.de/10011290635
Saved in:
4
Robust sparse canonical correlation analysis
Wilms, Ines
;
Croux, Christophe
-
2014
Persistent link: https://www.econbiz.de/10010485679
Saved in:
5
Sparse cointegration
Wilms, Ines
;
Croux, Christophe
-
2014
Persistent link: https://www.econbiz.de/10010485685
Saved in:
6
The influence function of penalized regression estimators
Öllerer, Viktoria
;
Croux, Christophe
;
Alfons, Andreas
-
2013
Persistent link: https://www.econbiz.de/10010238527
Saved in:
7
Sparse least trimmed squares regression
Alfons, Andreas
;
Croux, Christophe
;
Gelper, Sarah
-
2011
Persistent link: https://www.econbiz.de/10009377551
Saved in:
8
S-estimation for penalized regression splines
Tharmaratnam, K.
;
Claeskens, G.
;
Croux, Christophe
; …
-
2008
Persistent link: https://www.econbiz.de/10003977689
Saved in:
9
Robust regression in Stata
Verardi, Vincenzo
;
Croux, Christophe
-
2008
Persistent link: https://www.econbiz.de/10003977720
Saved in:
10
Regression-based, regression-free and model-free approaches for robust online scale estimation
Schettlinger, Karen
;
Gelper, Sarah
;
Gather, Ursula
; …
-
2008
Persistent link: https://www.econbiz.de/10003977730
Saved in:
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