Marloes Maathuis

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	6836	4487
h-индекс	35	27
i10-индекс	50	39

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20 статии

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Въз основа на изисквания при финансирането

Съавтори

Markus KalischETH ZürichПотвърден имейл адрес: stat.math.ethz.ch
Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichПотвърден имейл адрес: stat.math.ethz.ch
Preetam NandyGoogleПотвърден имейл адрес: google.com
Thomas S. RichardsonUniversity of WashingtonПотвърден имейл адрес: uw.edu
Martin MächlerAdjunct Professor, ETH ZurichПотвърден имейл адрес: stat.math.ethz.ch
Emilija PerkovićDorothy Gilford Early Career Endowed Professor, Department of Statistics, University of WashingtonПотвърден имейл адрес: uw.edu
Leonard HenckelUniversity College DublinПотвърден имейл адрес: ucd.ie
Mathias DrtonProfessor of Mathematical Statistics, Technical University of MunichПотвърден имейл адрес: tum.de
Daniel J StekhovenNEXUS Personalized Health Technologies, ETH ZurichПотвърден имейл адрес: ethz.ch
Jinzhou LiStanford UniversityПотвърден имейл адрес: stanford.edu
Nicolai MeinshausenProfessor of Statistics, ETH ZurichПотвърден имейл адрес: stat.math.ethz.ch
Jon A. WellnerProfessor Emeritus of Statistics, University of WashingtonПотвърден имейл адрес: stat.washington.edu
Nicole WenderothDepartment of Health Sciences and Technology, ETH Zurich, CHПотвърден имейл адрес: hest.ethz.ch
Pegah KassraianColumbia UniversityПотвърден имейл адрес: columbia.edu
Johannes TextorData Science Section, Institute for Computing and Information Sciences, Radboud University, NijmegenПотвърден имейл адрес: radboudumc.nl
Teresa PrzytyckaNCBI / NLM / NIHПотвърден имейл адрес: ncbi.nlm.nih.gov
Holger FröhlichHead of AI & Data Science Group & Deputy Head of Department of Bioinformatics at Fraunhofer SCAIПотвърден имейл адрес: scai.fraunhofer.de
Rainer SpangUniversity of RegensburgПотвърден имейл адрес: ur.de
Yves MoreauUniversity of LeuvenПотвърден имейл адрес: esat.kuleuven.be
Andreas WeberProfessor of Computer Science, University of BonnПотвърден имейл адрес: cs.uni-bonn.de

Следене

Marloes Maathuis

Няма данни за членство

Няма потвърден имейл адрес - Начална страница

causal inference graphical models high-dimensional statistics applications


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	801	2012
Order-independent constraint-based causal structure learning. D Colombo, MH Maathuis J. Mach. Learn. Res. 15 (1), 3741-3782, 2014	800	2014
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	584	2012
Estimating high-dimensional intervention effects from observational data MH Maathuis, M Kalisch, P Bühlmann	471	2009
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	462	2018
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	330	2010
Structure learning in graphical modeling M Drton, MH Maathuis Annual Review of Statistics and Its Applications 4, 365-393, 2017	308	2017
Handbook of graphical models M Maathuis, M Drton, S Lauritzen, M Wainwright CRC Press, 2018	269	2018
Causal structure learning C Heinze-Deml, MH Maathuis, N Meinshausen Annual Review of Statistics and Its Application 5 (1), 371-391, 2018	252	2018
High-dimensional consistency in score-based and hybrid structure learning P Nandy, A Hauser, MH Maathuis Annals of Statistics 46, 3151-3183, 2015	177	2015
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	161	2010
A generalized back-door criterion MH Maathuis, D Colombo	142	2015
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	136	2018
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	134	2016
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	112*	2021
Causal Stability Ranking DJ Stekhoven, L Hennig, G Sveinbjörnsson, I Moraes, MH Maathuis, ... Bioinformatics 28, 2819-2823, 2012	103	2012
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	95	2012
Estimating the effect of joint interventions from observational data in sparse high-dimensional settings P Nandy, MH Maathuis, TS Richardson	93	2017
A complete generalized adjustment criterion E Perković, J Textor, M Kalisch, MH Maathuis UAI 2015, 682-691, 2015	91	2015
Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2 JS Huisman, J Scire, DC Angst, J Li, RA Neher, MH Maathuis, ... Elife 11, e71345, 2022	88	2022

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