Marloes Maathuis
Title
Cited by
Cited by
Year
Causal inference using graphical models with the R package pcalg
M Kalisch, M Mächler, D Colombo, MH Maathuis, P Bühlmann
Journal of Statistical Software 47 (11), 1-26, 2012
5012012
Order-independent constraint-based causal structure learning.
D Colombo, MH Maathuis
J. Mach. Learn. Res. 15 (1), 3741-3782, 2014
3672014
Estimating high-dimensional intervention effects from observational data
MH Maathuis, M Kalisch, P Bühlmann
The Annals of Statistics 37 (6A), 3133-3164, 2009
3122009
Learning high-dimensional directed acyclic graphs with latent and selection variables
D Colombo, MH Maathuis, M Kalisch, TS Richardson
Annals of Statistics 40, 294-321, 2012
3052012
Predicting causal effects in large-scale systems from observational data
MH Maathuis, D Colombo, M Kalisch, P Bühlmann
Nature Methods 7 (4), 247-248, 2010
2572010
From hype to reality: data science enabling personalized medicine
H Fröhlich, R Balling, N Beerenwinkel, O Kohlbacher, S Kumar, ...
BMC medicine 16 (1), 1-15, 2018
1662018
Structure learning in graphical modeling
M Drton, MH Maathuis
Annual Review of Statistics and Its Applications 4, 365-393, 2017
1462017
Variable selection in high-dimensional linear models: partially faithful distributions and the pc-simple algorithm
P Bühlmann, M Kalisch, MH Maathuis
Biometrika 97 (2), 261-278, 2010
972010
High-dimensional consistency in score-based and hybrid structure learning
P Nandy, A Hauser, MH Maathuis
Annals of Statistics, to appear, 2015
872015
Causal structure learning
C Heinze-Deml, MH Maathuis, N Meinshausen
Annual Review of Statistics and Its Application 5, 371-391, 2018
832018
Causal Stability Ranking
DJ Stekhoven, L Hennig, G Sveinbjörnsson, I Moraes, MH Maathuis, ...
Bioinformatics 28, 2819-2823, 2012
802012
A generalized back-door criterion
MH Maathuis, D Colombo
The Annals of Statistics 43 (3), 1060-1088, 2015
762015
Handbook of graphical models
M Maathuis, M Drton, S Lauritzen, M Wainwright
CRC Press, 2018
732018
Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example
P Kassraian-Fard, C Matthis, JH Balsters, MH Maathuis, N Wenderoth
Frontiers in psychiatry 7, 177, 2016
662016
Current status data with competing risks: consistency and rates of convergence of the MLE
P Groeneboom, MH Maathuis, JA Wellner
The Annals of Statistics 36, 1031-1063, 2008
662008
Current status data with competing risks: limiting distribution of the MLE
P Groeneboom, MH Maathuis, JA Wellner
The Annals of Statistics 36, 1064-1089, 2008
582008
Reduction algorithm for the NPMLE for the distribution function of bivariate interval-censored data
MH Maathuis
Journal of Computational and Graphical Statistics 14 (2), 352-362, 2005
582005
Asymptotic optimality of the Westfall-Young permutation procedure for multiple testing under dependence
N Meinshausen, MH Maathuis, P Bühlmann
The Annals of Statistics, 3369-3391, 2011
542011
The causal effect of switching to second-line ART in programmes without access to routine viral load monitoring
T Gsponer, M Petersen, M Egger, S Phiri, MH Maathuis, A Boulle, ...
AIDS 26 (1), 57-65, 2012
522012
A combined statistical approach and ground movement model for improving taxi time estimations at airports
S Ravizza, JAD Atkin, MH Maathuis, EK Burke
Journal of the Operational Research Society, 1347-1360, 2012
522012
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Articles 1–20