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Drton, Mathias; Han, Fang ; Shi, Hongjian
High dimensional independence testing with maxima of rank correlations
Annals of Statistics
2020
Drton, Mathias; Robeva, Elina ; Weihs, Luca
Nested covariance determinants and restricted trek separation in Gaussian graphical models
Bernoulli
2020
Drton, M., Eichler, M., Richardson, T.S.
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors
Journal of Machine Learning Research
2009
10
Oct
2329-2348
Wang, Y Samuel;Drton, Mathias
High-dimensional causal discovery under non-Gaussianity
Biometrika
2020
107
1
Mar
41–59
Drton, M.; Richardson, T.S.
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
Journal of Machine Learning Research
2008
9
May
893-914
Drton, Mathias
Algebraic problems in structural equation modeling
The 50th Anniversary of Gröbner Bases
Mathematical Society of Japan
Chen, Wenyu;Drton, Mathias;Wang, Y Samuel
On causal discovery with an equal-variance assumption
Biometrika
2019
106
4
973-980
Drton, Mathias
Algebraic problems in structural equation modeling
The 50th Anniversary of Gröbner Bases
Mathematical Society of Japan
Delerue, Thomas
Normal approximation of the solution to the stochastic wave equation with Lévy noise
Preprint
2019
Nov
28
Shiqing Yu; Mathias Drton; Ali Shojaie
Generalized score matching for non-negative data
Journal of Machine Learning Research
2019
20
76
Dec
1-70
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