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Disambiguation of "Schumacher, Martin"

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Sparse regression techniques in low-dimensional survival data settings.

, , and . Statistics and Computing, 20 (2): 151-163 (2010)

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Prof. Dr. Uwe Schumacher University of Stuttgart

Tim Martin University of Stuttgart

Gaussian inference for data-driven state-feedback design of nonlinear systems, , and . 22nd IFAC World Congress, 56, 2, page 4796-4803. Elsevier, (2023)

Martin Schwartz University of Stuttgart

Martin Alvarez University of Stuttgart

Martin Baumann

 

Other publications of authors with the same name

Berücksichtigung prognostischer Faktoren bei der Planung von Therapiestudien., , , and . GMDS, page 475-480. MMV Medizin Verlag, (1994)Comment on "network-constrained regularization and variable selection for analysis of genomic data"., and . Bioinformatics, 24 (21): 2566-2568 (2008)Randomisierte und nicht-randomisierte Patienten in klinischen Therapiestudien: Erfahrungen mit dem CCS-Design., , and . GMDS, page 444-449. MMV Medizin Verlag, (1994)Simulating and analysing infectious disease data in a heterogeneous population with migration., and . Computer Methods and Programs in Biomedicine, 104 (2): 29-36 (2011)Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation., , , , and . BMC Bioinformatics, 19 (1): 78:1-78:10 (2018)Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information., , , , , and . BMC Bioinformatics, (2016)Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models., and . BMC Bioinformatics, (2008)Parallelized prediction error estimation for evaluation of high-dimensional models., , and . Bioinformatics, 25 (6): 827-829 (2009)Bootstrap and Cross-Validation to Assess Complexity of Data-Driven Regression Models., and . ISMDA, volume 1933 of Lecture Notes in Computer Science, page 234-241. Springer, (2000)Sparse regression techniques in low-dimensional survival data settings., , and . Statistics and Computing, 20 (2): 151-163 (2010)