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Analysis of Testing-Based Forward Model Selection

Analysis of Testing-Based Forward Model Selection

8 December 2015
Damian Kozbur
ArXivPDFHTML

Papers citing "Analysis of Testing-Based Forward Model Selection"

4 / 4 papers shown
Title
Treatment Effect Estimation with Observational Network Data using Machine Learning
Treatment Effect Estimation with Observational Network Data using Machine Learning
Corinne Emmenegger
Meta-Lina Spohn
Timon Elmer
Peter Buhlmann
CML
47
3
1
20 Jan 2025
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
170
283
0
09 Mar 2009
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
172
738
0
04 Apr 2008
Confidence Sets Based on Sparse Estimators Are Necessarily Large
Confidence Sets Based on Sparse Estimators Are Necessarily Large
B. M. Potscher
89
41
0
07 Nov 2007
1