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Mathias Drton
Mathias Drton
Professor of Mathematical Statistics, Technical University of Munich
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Wisdom of crowds for robust gene network inference
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature methods 9 (8), 796-804, 2012
18052012
Extended Bayesian information criteria for Gaussian graphical models
R Foygel, M Drton
Advances in Neural Information Processing Systems 23, 2020-2028 (arXiv:1011.66), 2010
10442010
Lectures on algebraic statistics
M Drton, B Sturmfels, S Sullivant
Springer Science & Business Media, 2009
5972009
Structure learning in graphical modeling
M Drton, MH Maathuis
Annual Review of Statistics and Its Application 4, 365-393, 2017
2742017
Model selection for Gaussian concentration graphs
M Drton, MD Perlman
Biometrika 91 (3), 591-602, 2004
2612004
Handbook of graphical models
M Maathuis, M Drton, S Lauritzen, M Wainwright
CRC Press, 2018
2322018
Multiple testing and error control in Gaussian graphical model selection
M Drton, MD Perlman
Statistical Science 22 (3), 430-449, 2007
1722007
PC algorithm for nonparanormal graphical models
N Harris, M Drton
Journal of Machine Learning Research 14 (1), 3365-3383, 2013
1702013
Estimation of a covariance matrix with zeros
S Chaudhuri, M Drton, TS Richardson
Biometrika 94 (1), 199-216, 2007
1692007
Likelihood ratio tests and singularities
M Drton
The Annals of Statistics 37 (2), 979-1012, 2009
1572009
A Bayesian information criterion for singular models
M Drton, M Plummer
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
1512017
High-dimensional Ising model selection with Bayesian information criteria
RF Barber, M Drton
Electronic Journal of Statistics 9 (1), 567-607, 2015
1472015
Discrete chain graph models
M Drton
Bernoulli 15 (3), 736-753, 2009
1462009
A SINful approach to Gaussian graphical model selection
M Drton, MD Perlman
Journal of Statistical Planning and Inference 138 (4), 1179-1200, 2008
1402008
Robust graphical modeling of gene networks using classical and alternative t-distributions
M Finegold, M Drton
The Annals of Applied Statistics 5 (2A), 1057-1080, 2011
1342011
Seat biases of apportionment methods for proportional representation
K Schuster, F Pukelsheim, M Drton, NR Draper
Electoral Studies 22 (4), 651-676, 2003
1292003
Algebraic factor analysis: tetrads, pentads and beyond
M Drton, B Sturmfels, S Sullivant
Probability Theory and Related Fields, 2006
1172006
Global identifiability of linear structural equation models
M Drton, R Foygel, S Sullivant
The Annals of Statistics 39 (2), 865-886, 2011
1032011
On causal discovery with an equal-variance assumption
W Chen, M Drton, YS Wang
Biometrika 106 (4), 973-980, 2019
942019
Half-trek criterion for generic identifiability of linear structural equation models
R Foygel, J Draisma, M Drton
The Annals of Statistics, 1682-1713, 2012
872012
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