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#p_drton

LD25

On Weak Convergence of Gaussian Conditional Distributions

Statistics and Probability Letters 226.110497. Nov. 2025

#p_drton

WKD+25

Confidence Sets for Causal Orderings

Journal of the American Statistical Association. Oct. 2025

#p_drton

SD25

Identifying Total Causal Effects in Linear Models Under Partial Homoscedasticity

International Journal of Approximate Reasoning 183.109455. Aug. 2025

#p_drton

SD25b

On the Distance Between Mean and Geometric Median in High Dimensions

Preprint (Aug. 2025)

#p_drton

DGN+25

Causal Discovery for Linear Non-Gaussian Models With Disjoint Cycles

UAI 2025

#p_drton

TKS+25

Causal Effect Identification in LvLiNGAM From Higher-Order Cumulants

ICML 2025

#p_drton

HSL+25

Single-Cell Differential Expression Analysis Between Conditions Within Nested Settings

Briefings in Bioinformatics 26.4. Jul. 2025

#p_drton

SD25a

Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables

Preprint (Jul. 2025)

#p_drton

BDH+25

Conditional Independence in Stationary Distributions of Diffusions

Stochastic Processes and Their Applications 184.104604. Jun. 2025

#p_drton

GWD25

Nonlinear Causal Discovery for Grouped Data

Preprint (Jun. 2025)

#p_drton

Str25

Structure Uncertainty in Causal Inference

Dissertation TU München. May. 2025

#p_drton

SD25c

On Universal Inference in Gaussian Mixture Models

Preprint (Mar. 2025)

#p_drton

DGP+25

Algebraic Sparse Factor Analysis

SIAM Journal on Applied Algebra and Geometry 9. Feb. 2025

#p_drton

BDS+25

Existence of Direct Density Ratio Estimators

Preprint (Feb. 2025)

#p_drton

SKP+25

Matching Criterion for Identifiability in Sparse Factor Analysis

Preprint (Feb. 2025)

#p_drton

SMD25

Robust Score Matching

Preprint (Jan. 2025)

#p_drton

LZD24

Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models

PGM 2024

#p_drton

SD24a

Identifying Total Causal Effects in Linear Models Under Partial Homoscedasticity

PGM 2024

#p_drton

SRD24

Causal Discovery of Linear Non-Gaussian Causal Models With Unobserved Confounding

Preprint (Aug. 2024)

#p_drton

TKS+24

Causal Effect Identification in LiNGAM Models With Latent Confounders

ICML 2024

#p_drton

GDM+24

High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data

Electronic Journal of Statistics 18.1. Jun. 2024

#p_drton

DDK24

On the Lasso for Graphical Continuous Lyapunov Models

CLeaR 2024

#p_drton

GWD+24

CausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery

CLeaR 2024

#p_drton

SD24

Dual Likelihood for Causal Inference Under Structure Uncertainty

CLeaR 2024

#p_drton

SDL24

Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics

Journal of the Royal Statistical Society. Series B (Statistical Methodology) 86.4. Mar. 2024

#p_drton

SSD+23

Unpaired Multi-Domain Causal Representation Learning

NeurIPS 2023

#p_drton

SD23

Confidence in Causal Inference Under Structure Uncertainty in Linear Causal Models With Equal Variances

Journal of Causal Inference 11.1. Dec. 2023

#p_drton

KSD23

Rank-Based Causal Discovery for Post-Nonlinear Models

AISTATS 2023

#p_drton

FDS+22

Half-Trek Criterion for Identifiability of Latent Variable Models

Annals of Statistics 50.6. Dec. 2022

#p_drton

SD22

On the Choice of the Splitting Ratio for the Split Likelihood Ratio Test

Electronic Journal of Statistics 16.2. Mar. 2022

#p_drton
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0001-01-01 - Last modified: 0001-01-01