Mathias Drton

Munich Center for Machine Learning

Computer Science · Physical Sciences

31h-index4.7kcitations228works1.02yr avg
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Research Topics

Bayesian Modeling and Causal Inference(115), Statistical Methods and Inference(70), Statistical Methods and Bayesian Inference(43), Bayesian Methods and Mixture Models(36), Advanced Statistical Methods and Models(27)

Publications228 total

On the distance between mean and geometric median in high dimensions
Statistics & Probability Letters·2026Open Access
Matching Criterion for Identifiability in Sparse Factor Analysis
Psychometrika·2026Open Access
Faithlessness in Gaussian graphical models
Bernoulli·2025
On weak convergence of Gaussian conditional distributions
arXiv (Cornell University)·2025Open Access
Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables
arXiv (Cornell University)·2025Open Access
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
arXiv (Cornell University)·2025Open Access
Single-cell differential expression analysis between conditions within nested settings
Briefings in Bioinformatics·2025· 1 citedOpen Access
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
arXiv (Cornell University)·2025Open Access
Nonlinear Causal Discovery for Grouped Data
arXiv (Cornell University)·2025Open Access
Identifying total causal effects in linear models under partial homoscedasticity
International Journal of Approximate Reasoning·2025· 1 citedOpen Access
Algebraic Sparse Factor Analysis
SIAM Journal on Applied Algebra and Geometry·2025· 1 cited
Conditional independence in stationary distributions of diffusions
Stochastic Processes and their Applications·2025· 2 citedOpen Access
Existence of Direct Density Ratio Estimators
arXiv (Cornell University)·2025Open Access
Robust Score Matching
arXiv (Cornell University)·2025Open Access
Goodness-of-fit tests for linear non-Gaussian structural equation models
Biometrika·2025Open Access
Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics
Bernoulli·2024· 4 cited
Identifiability of homoscedastic linear structural equation models using algebraic matroids
Advances in Applied Mathematics·2024Open Access
Rational maximum likelihood estimators of Kronecker covariance matrices
Algebraic Statistics·2024· 1 citedOpen Access
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
arXiv (Cornell University)·2024Open Access
Conditional Independence in Stationary Diffusions
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Lior Pachter(6), Thomas S. Richardson(5), Hongjian Shi(5), Rina Foygel(4), Fang Han(4), Marta Casanellas(3), Michael D. Perlman(3), Ali Shojaie(3), Sergi Elizalde(2), Niko Beerenwinkel(2), Bernd Sturmfels(2), Seth Sullivant(2), Shiqing Yu(2), Luca Weihs(2), Y. Samuel Wang(2), Michael Eichler(2), Hélène Massam(2), Ingram Olkin(2), Marc Hallin(2), L. Pachter(1)