Estimation of Directed Acyclic Graphs by Frequentist Model Averaging
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Huihang, Li, Wenhui, Zhang, Xinyu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Controlling the False Discovery Rate in Subspace Selection
by: Díaz, Mateo, et al.
Published: (2024)
by: Díaz, Mateo, et al.
Published: (2024)
Tensor Factor Model Estimation by Iterative Projection
by: Han, Yuefeng, et al.
Published: (2020)
by: Han, Yuefeng, et al.
Published: (2020)
Estimating the False Discovery Rate of Variable Selection
by: Luo, Yixiang, et al.
Published: (2024)
by: Luo, Yixiang, et al.
Published: (2024)
Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
by: Loureiro, Catarina P., et al.
Published: (2026)
by: Loureiro, Catarina P., et al.
Published: (2026)
Causal discovery under mean independence and linearity
by: Mesters, Geert, et al.
Published: (2026)
by: Mesters, Geert, et al.
Published: (2026)
Information criteria for the number of directions of extremes in high-dimensional data
by: Butsch, Lucas, et al.
Published: (2024)
by: Butsch, Lucas, et al.
Published: (2024)
A novel framework for detecting multiple change points in functional data sequences
by: Fang, Zhiqing, et al.
Published: (2025)
by: Fang, Zhiqing, et al.
Published: (2025)
Infinite-Dimensional Spherical Kernel ridge Regression
by: Matteo, Beatrice, et al.
Published: (2026)
by: Matteo, Beatrice, et al.
Published: (2026)
Regularized Estimation of Sparse Spectral Precision Matrices
by: Deb, Navonil, et al.
Published: (2024)
by: Deb, Navonil, et al.
Published: (2024)
gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
by: Hewage, Sameera
Published: (2025)
by: Hewage, Sameera
Published: (2025)
On the spherical Laplace distribution
by: You, Kisung, et al.
Published: (2022)
by: You, Kisung, et al.
Published: (2022)
Variable selection in functional regression models: a review
by: Aneiros, Germán, et al.
Published: (2024)
by: Aneiros, Germán, et al.
Published: (2024)
Sparse twoblock dimension reduction for simultaneous compression and variable selection in two blocks of variables
by: Serneels, Sven
Published: (2024)
by: Serneels, Sven
Published: (2024)
Binary Regression and Classification with Covariates in Metric Spaces
by: Lin, Yinan, et al.
Published: (2023)
by: Lin, Yinan, et al.
Published: (2023)
Identifying Direct Causal Effects in Latent Factor Models by Accounting for Unidentified Parents
by: Hochsprung, Tom, et al.
Published: (2026)
by: Hochsprung, Tom, et al.
Published: (2026)
Subbagging Variable Selection for Big Data
by: Li, Xian, et al.
Published: (2025)
by: Li, Xian, et al.
Published: (2025)
Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)
by: Whiteley, Nick, et al.
Published: (2022)
Neural Bayes estimation and selection for complex bivariate extremal dependence models
by: André, Lídia M., et al.
Published: (2025)
by: André, Lídia M., et al.
Published: (2025)
Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
by: Wu, Jie, et al.
Published: (2025)
by: Wu, Jie, et al.
Published: (2025)
Unsupervised Variable Selection for Ultrahigh-Dimensional Clustering Analysis
by: Zhang, Tonglin, et al.
Published: (2024)
by: Zhang, Tonglin, et al.
Published: (2024)
Reduced-Rank Autoregressive Model for High-Dimensional Multivariate Network Time Series
by: Lyu, Qi, et al.
Published: (2026)
by: Lyu, Qi, et al.
Published: (2026)
A new multivariate Poisson model
by: Murphy, Orla A., et al.
Published: (2024)
by: Murphy, Orla A., et al.
Published: (2024)
Algebraic Constraints for Linear Acyclic Causal Models
by: Gigliotti, Cole, et al.
Published: (2025)
by: Gigliotti, Cole, et al.
Published: (2025)
Restrictions of PCBNs for integration-free computations
by: Derumigny, Alexis, et al.
Published: (2025)
by: Derumigny, Alexis, et al.
Published: (2025)
ICS for complex data with application to outlier detection for density data
by: Mondon, Camille, et al.
Published: (2025)
by: Mondon, Camille, et al.
Published: (2025)
Inference in high-dimensional logistic regression under tensor network dependence
by: Miles, Josh, et al.
Published: (2026)
by: Miles, Josh, et al.
Published: (2026)
Estimators for multivariate allometric regression model
by: Tsukuda, Koji, et al.
Published: (2024)
by: Tsukuda, Koji, et al.
Published: (2024)
Spectral Graph Filtering for Modality-Specific Representation Learning
by: Yoffe, Shira, et al.
Published: (2024)
by: Yoffe, Shira, et al.
Published: (2024)
Estimation of the generalized Laplace distribution and its projection onto the circle
by: Geraci, Marco
Published: (2025)
by: Geraci, Marco
Published: (2025)
A Time-Varying and Covariate-Dependent Correlation Model for Multivariate Longitudinal Studies
by: Liu, Qingzhi, et al.
Published: (2026)
by: Liu, Qingzhi, et al.
Published: (2026)
Sparsity of the Main Effect Matrix Factor Model
by: Cen, Zetai, et al.
Published: (2025)
by: Cen, Zetai, et al.
Published: (2025)
Inference for overparametrized hierarchical Archimedean copulas
by: Perreault, Samuel, et al.
Published: (2024)
by: Perreault, Samuel, et al.
Published: (2024)
Density estimation for compositional data using nonparametric mixtures
by: Xie, Jiajin, et al.
Published: (2025)
by: Xie, Jiajin, et al.
Published: (2025)
Extrinsic Total-Variance and Coplanarity via Oriented and Classical Projective Shape Analysis
by: Alamoudi, Musab, et al.
Published: (2025)
by: Alamoudi, Musab, et al.
Published: (2025)
On the spherical cardioid distribution and its goodness-of-fit
by: García-Portugués, Eduardo
Published: (2026)
by: García-Portugués, Eduardo
Published: (2026)
Bayesian Benefit-Risk Assessment with Dependent Outcomes via Latent Factor Models
by: Vamvourellis, Konstantinos, et al.
Published: (2022)
by: Vamvourellis, Konstantinos, et al.
Published: (2022)
Clustering Multivariate Time Series using Energy Distance
by: Davis, Richard A., et al.
Published: (2023)
by: Davis, Richard A., et al.
Published: (2023)
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
by: Drton, Mathias, et al.
Published: (2025)
by: Drton, Mathias, et al.
Published: (2025)
MIBoost: A gradient boosting algorithm for variable selection after multiple imputation
by: Kuchen, Robert
Published: (2025)
by: Kuchen, Robert
Published: (2025)
Spatial Scalar-on-Function Quantile Regression Model
by: Mutis, Muge, et al.
Published: (2025)
by: Mutis, Muge, et al.
Published: (2025)
Similar Items
-
Controlling the False Discovery Rate in Subspace Selection
by: Díaz, Mateo, et al.
Published: (2024) -
Tensor Factor Model Estimation by Iterative Projection
by: Han, Yuefeng, et al.
Published: (2020) -
Estimating the False Discovery Rate of Variable Selection
by: Luo, Yixiang, et al.
Published: (2024) -
Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
by: Loureiro, Catarina P., et al.
Published: (2026) -
Causal discovery under mean independence and linearity
by: Mesters, Geert, et al.
Published: (2026)