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Marloes Maathuis
Marloes Maathuis
Bestätigte E-Mail-Adresse bei stat.math.ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
7282012
Order-independent constraint-based causal structure learning.
D Colombo, MH Maathuis
J. Mach. Learn. Res. 15 (1), 3741-3782, 2014
6682014
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
5152012
Estimating high-dimensional intervention effects from observational data
MH Maathuis, M Kalisch, P Bühlmann
4222009
From hype to reality: data science enabling personalized medicine
H Fröhlich, R Balling, N Beerenwinkel, O Kohlbacher, S Kumar, ...
BMC medicine 16, 1-15, 2018
3832018
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
3102010
Structure learning in graphical modeling
M Drton, MH Maathuis
Annual Review of Statistics and Its Applications 4, 365-393, 2017
2712017
Handbook of graphical models
M Maathuis, M Drton, S Lauritzen, M Wainwright
CRC Press, 2018
2222018
Causal structure learning
C Heinze-Deml, MH Maathuis, N Meinshausen
Annual Review of Statistics and Its Application 5, 371-391, 2018
2152018
High-dimensional consistency in score-based and hybrid structure learning
P Nandy, A Hauser, MH Maathuis
Annals of Statistics 46, 3151-3183, 2015
1552015
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
1442010
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, 211553, 2016
1232016
A generalized back-door criterion
MH Maathuis, D Colombo
1162015
Complete graphical characterization and construction of adjustment sets in Markov equivalence classes of ancestral graphs
E Perkovic, JC Textor, M Kalisch, MH Maathuis
Journal of Machine Learning Research 18 (220), 1-62, 2018
1062018
Causal Stability Ranking
DJ Stekhoven, L Hennig, G Sveinbjörnsson, I Moraes, MH Maathuis, ...
Bioinformatics 28, 2819-2823, 2012
952012
Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models
MH Maathuis, E Perkovic, L Henckel
Journal of the Royal Statistical Society: Series B, Statistical Methodology …, 2021
86*2021
Estimating the effect of joint interventions from observational data in sparse high-dimensional settings
P Nandy, MH Maathuis, TS Richardson
822017
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
782012
A complete generalized adjustment criterion
E Perković, J Textor, M Kalisch, MH Maathuis
UAI 2015, 682-691, 2015
742015
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
712008
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