Mathias Drton

35 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-5614-3025

School of Computation, Information and Technology, Technical University of Munich

Publications

Confidence Sets for Causal Orderings — Journal of the American Statistical Association 2026
Parameter identification in linear non-Gaussian causal models under general confounding — The Annals of Statistics 2026 (name-matched, not ORCID-linked)
Goodness-of-fit tests for linear non-Gaussian structural equation models — Biometrika 2025
Testing many constraints in possibly irregular models using incomplete U-statistics — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
Causal Discovery with Unobserved Confounding and Non-Gaussian Data — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
On the power of Chatterjee’s rank correlation — Biometrika 2022
Half-trek criterion for identifiability of latent variable models — The Annals of Statistics 2022
On universally consistent and fully distribution-free rank tests of vector independence — The Annals of Statistics 2022
Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs — Journal of the American Statistical Association 2022
Existence and uniqueness of the Kronecker covariance MLE — The Annals of Statistics 2021
Handbook of Graphical Models — Journal of the American Statistical Association 2020
High-dimensional causal discovery under non-Gaussianity — Biometrika 2020
High-dimensional consistent independence testing with maxima of rank correlations — The Annals of Statistics 2020
The maximum likelihood threshold of a path diagram — The Annals of Statistics 2019
Generalized Score Matching for Non-Negative Data — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
On causal discovery with an equal-variance assumption — Biometrika 2019
Graphical models for zero-inflated single cell gene expression — The Annals of Applied Statistics 2019
Computation of maximum likelihood estimates in cyclic structural equation models — The Annals of Statistics 2019
Symmetric rank covariances: a generalized framework for nonparametric measures of dependence — Biometrika 2018
Testing independence in high dimensions with sums of rank correlations — The Annals of Statistics 2018
A Bayesian information criterion for singular models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
Covariate-adaptive clustering of exposures for air pollution epidemiology cohorts — The Annals of Applied Statistics 2017
PC Algorithm for Nonparanormal Graphical Models — Journal of Machine Learning Research 2013 (name-matched, not ORCID-linked)
Correction on Moments of minors of Wishart matrices — The Annals of Statistics 2012
Half-trek criterion for generic identifiability of linear structural equation models — The Annals of Statistics 2012
Global identifiability of linear structural equation models — The Annals of Statistics 2011
Quantifying the failure of bootstrap likelihood ratio tests — Biometrika 2011
Likelihood ratio tests and singularities — The Annals of Statistics 2009
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors — Journal of Machine Learning Research 2009 (name-matched, not ORCID-linked)
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models — Journal of Machine Learning Research 2008 (name-matched, not ORCID-linked)
Moments of minors of Wishart matrices — The Annals of Statistics 2008
Binary models for marginal independence — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2008
Estimation of a covariance matrix with zeros — Biometrika 2007
Model selection for Gaussian concentration graphs — Biometrika 2004
Multimodality of the likelihood in the bivariate seemingly unrelated regressions model — Biometrika 2004