Peter Bühlmann

	2012
16		Daniel J. Stekhoven, Peter Bühlmann: MissForest - non-parametric missing value imputation for mixed-type data. Bioinformatics 28(1): 112-118 (2012)
15		Nicolas Städler, Peter Bühlmann: Missing values: sparse inverse covariance estimation and an extension to sparse regression. Statistics and Computing 22(1): 219-235 (2012)
	2011
14		Alain Hauser, Peter Bühlmann: Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs (Abstract). UAI 2011: 851
13		Alain Hauser, Peter Bühlmann: Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs CoRR abs/1104.2808: (2011)
12		Shuheng Zhou, Philipp Rütimann, Min Xu, Peter Bühlmann: High-dimensional Covariance Estimation Based On Gaussian Graphical Models. Journal of Machine Learning Research 12: 2975-3026 (2011)
	2010
11		Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner: Model-based Boosting 2.0. Journal of Machine Learning Research 11: 2109-2113 (2010)
10		Peter Bühlmann, Torsten Hothorn: Twin Boosting: improved feature selection and prediction. Statistics and Computing 20(2): 119-138 (2010)
	2008
9		Roman Werner Lutz, Markus Kalisch, Peter Bühlmann: Robustified L2 boosting. Computational Statistics & Data Analysis 52(7): 3331-3341 (2008)
	2007
8		Corinne Dahinden, Giovanni Parmigiani, Mark C. Emerick, Peter Bühlmann: Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries. BMC Bioinformatics 8: (2007)
7		Jelle J. Goeman, Peter Bühlmann: Analyzing gene expression data in terms of gene sets: methodological issues. Bioinformatics 23(8): 980-987 (2007)
6		Markus Kalisch, Peter Bühlmann: Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm. Journal of Machine Learning Research 8: 613-636 (2007)
	2006
5		Torsten Hothorn, Peter Bühlmann: Model-based boosting in high dimensions. Bioinformatics 22(22): 2828-2829 (2006)
4		Amela Prelic, Stefan Bleuler, Philip Zimmermann, Anja Wille, Peter Bühlmann, Wilhelm Gruissem, Lars Hennig, Lothar Thiele, Eckart Zitzler: A systematic comparison and evaluation of biclustering methods for gene expression data. Bioinformatics 22(9): 1122-1129 (2006)
3		Peter Bühlmann, Bin Yu: Sparse Boosting. Journal of Machine Learning Research 7: 1001-1024 (2006)
	2005
2		Peter Bühlmann: Boosting and l1-Penalty Methods for High-dimensional Data with Some Applications in Genomics. GfKl 2005: 1-12
	2003
1		Marcel Dettling, Peter Bühlmann: Boosting for Tumor Classification with Gene Expression Data. Bioinformatics 19(9): 1061-1069 (2003)

Coauthor Index

1	Stefan Bleuler	[4]
2	Corinne Dahinden	[8]
3	Marcel Dettling	[1]
4	Mark C. Emerick	[8]
5	Jelle J. Goeman	[7]
6	Wilhelm Gruissem	[4]
7	Alain Hauser	[13] [14]
8	Lars Hennig	[4]
9	Benjamin Hofner	[11]
10	Torsten Hothorn	[5] [10] [11]
11	Markus Kalisch	[6] [9]
12	Thomas Kneib	[11]
13	Roman Werner Lutz	[9]
14	Giovanni Parmigiani	[8]
15	Amela Prelic	[4]
16	Philipp Rütimann	[12]
17	Matthias Schmid	[11]
18	Nicolas Städler	[15]
19	Daniel J. Stekhoven	[16]
20	Lothar Thiele	[4]
21	Anja Wille	[4]
22	Min Xu	[12]
23	Bin Yu	[3]
24	Shuheng Zhou	[12]
25	Philip Zimmermann	[4]
26	Eckart Zitzler	[4]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page