Cover Image

Learning a directed acyclic graph with additive heteroscedastic errors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xia, Xintao, Chen, Li, Hu, Yue, Li, Chunlin
Format:	Preprint
Published:	2026
Subjects:	Methodology 62Hxx G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Setwise Hierarchical Variable Selection and the Generalized Linear Step-Up Procedure for False Discovery Rate Control
by: Organ, Sarah, et al.
Published: (2026)

Out-of-distribution robustness for multivariate analysis via causal regularisation
by: Durand, Homer, et al.
Published: (2024)

Comparing Multivariate Distributions: A Novel Approach Using Optimal Transport-based Plots
by: Singha, Sibsankar, et al.
Published: (2024)

Zero patterns in multi-way binary contingency tables with uniform margins
by: Fontana, Roberto, et al.
Published: (2025)

Producer vs. Rapper: Who Dominates the Hip Hop Sound? A Case Study
by: Ziemer, Tim, et al.
Published: (2024)

Thetanulls of cyclic curves of small genus
by: Previato, E., et al.
Published: (2013)

Newton Method on Riemannian Manifolds: Covariant Alpha-Theory
by: Dedieu, Jean-Pierre, et al.
Published: (2002)

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
by: Cai, Zhanrui, et al.
Published: (2023)

Adelic Rogers' formula and an application
by: Alam, Mahbub, et al.
Published: (2024)

On Bounds and Diophantine Properties of Elliptic Curves
by: Anand, Navvye
Published: (2024)

Infinite-Dimensional Diffusion Models
by: Pidstrigach, Jakiw, et al.
Published: (2023)

Optimal Strategy for Stabilizing Protein Folding Intermediates
by: Wang, Mengshou, et al.
Published: (2024)

Nonparametric conditional risk mapping under heteroscedasticity
by: Fernández-Casal, Rubén, et al.
Published: (2024)

Möbius structures, quasi-metrics, and completeness
by: Incerti-Medici, Merlin
Published: (2017)

Kernel Discrepancy-Based Rerandomization for Controlled Experiments
by: Li, Yiou, et al.
Published: (2019)

Correction of estimator bias in linear regression with categorical covariates with classification error
by: Dias, Alexandre Garcia, et al.
Published: (2025)

A mixture logistic model for panel data with a Markov structure
by: Cheng, Yu-Hsiang, et al.
Published: (2023)

The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis
by: Greenacre, Michael
Published: (2022)

Inference for decorated graphs and application to multiplex networks
by: Dufour, Charles, et al.
Published: (2024)

Analyzing directional errors in spatial orientation using nonparametric circular regression with mixed covariates
by: Francisco-Fernández, Mario, et al.
Published: (2026)

Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
by: Figueira, Mario, et al.
Published: (2025)

Sample size planning for estimating the global win probability with assurance and precision
by: Shu, Di, et al.
Published: (2024)

Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff--Gaussian Processes
by: Godoy, Lucas da Cunha, et al.
Published: (2022)

On the quaternion transformation and field equations in curved space-time
by: Chanyal, B. C.
Published: (2021)

Nonparametric Empirical Bayes Estimation on Heterogeneous Data
by: Banerjee, Trambak, et al.
Published: (2020)

Low quality exposure and point processes with a view to the first phase of a pandemic
by: Gámiz, María Luz, et al.
Published: (2023)

Monitoring a developing pandemic with available data
by: Gámiz, María Luz, et al.
Published: (2023)

Over the Stability Space of a Multivariate Time Series
by: Vásquez-Martínez, Roberto, et al.
Published: (2025)

Exhausting the type I error level in event-driven group-sequential designs with a closed testing procedure for progression-free and overall survival
by: Danzer, Moritz Fabian, et al.
Published: (2025)

Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
by: Novo, Silvia, et al.
Published: (2024)

Asymptotically Optimal Knockoff Statistics via the Masked Likelihood Ratio
by: Spector, Asher, et al.
Published: (2022)

Data-adaptive structural change-point detection via isolation
by: Anastasiou, Andreas, et al.
Published: (2024)

Generative modelling of multivariate geometric extremes using normalising flows
by: De Monte, Lambert, et al.
Published: (2025)

Co-evolving networks for opinion and social dynamics in agent-based models
by: Conrad, Nataša Djurdjevac, et al.
Published: (2024)

Linked factor analysis
by: Vinci, Giuseppe
Published: (2024)

On the two-step hybrid design for augmenting randomized trials using real-world data
by: Xu, Jiapeng, et al.
Published: (2025)

Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration
by: Nizzardo, Andrea, et al.
Published: (2024)

Nonparametric tests of treatment effect homogeneity for policy-makers
by: Dukes, Oliver, et al.
Published: (2024)

Learning binary undirected graph in low dimensional regime
by: De Canditiis, Daniela
Published: (2019)

Statistical Multicriteria Benchmarking via the GSD-Front
by: Jansen, Christoph, et al.
Published: (2024)