Cover Image

Adaptive Bayesian Structure Learning of DAGs With Non-conjugate Prior

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nazari, S., Arashi, M., Sadeghkhani, A.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multivariate Interval-Valued Models in Frequentist and Bayesian Schemes
by: Sadeghkhani, Ali, et al.
Published: (2024)

Semiparametric Mixed-effects Model for Longitudinal Data with Non-normal Errors
by: Taavoni, Mozhgan, et al.
Published: (2022)

Deep Learning With DAGs
by: Balgi, Sourabh, et al.
Published: (2024)

Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis
by: Nadifar, Mahsa, et al.
Published: (2025)

The Case for Time in Causal DAGs
by: Reisach, Alexander G., et al.
Published: (2025)

Bayesian Elastic Net Regression with Structured Prior Dependence
by: Hans, Christopher M., et al.
Published: (2025)

Leveraging heterogeneity for identifiability: Bayesian order-based learning of multiple DAGs
by: Chang, Hyunwoong, et al.
Published: (2026)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Unguided structure learning of DAGs for count data
by: Nguyen, Thi Kim Hue, et al.
Published: (2024)

Guided structure learning of DAGs for count data
by: Nguyen, Thi Kim Hue, et al.
Published: (2022)

Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes
by: Jin, Bora, et al.
Published: (2021)

Locally Adaptive Bayesian Isotonic Regression using Half Shrinkage Priors
by: Okano, Ryo, et al.
Published: (2022)

Learning DAGs from Data with Few Root Causes
by: Misiakos, Panagiotis, et al.
Published: (2023)

Causal Network Discovery from Interventional Count Data with Latent Linear DAGs
by: Zhang, Yijiao, et al.
Published: (2026)

Bayesian Variable Selection on Small Sample Trial Data via Adaptive Posterior-Informed Shrinkage Prior
by: Kong, Lingxuan, et al.
Published: (2025)

Interventional Causal Discovery in a Mixture of DAGs
by: Varıcı, Burak, et al.
Published: (2024)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
by: He, Junhui, et al.
Published: (2024)

Bayesian Covariate-Dependent Graph Learning with a Dual Group Spike-and-Slab Prior
by: Zeng, Zijian, et al.
Published: (2024)

Primed Priors for Simulation-Based Validation of Bayesian Models
by: Fazio, Luna, et al.
Published: (2024)

Bayesian Geographically Weighted Regression using Fused Lasso Prior
by: Sakai, Toshiki, et al.
Published: (2024)

Prior elicitation for Bayesian estimation of single-subject connectivity networks
by: Jiang, Yiye, et al.
Published: (2026)

Bayesian Hierarchical Copula Models with a Dirichlet-Laplace Prior
by: Onorati, Paolo, et al.
Published: (2022)

Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering
by: Yvernes, Clément, et al.
Published: (2025)

Posterior Ramifications of Prior Dependence Structures
by: Hagar, Luke, et al.
Published: (2023)

Flexibly Modeling Shocks to Demographic and Health Indicators with Bayesian Shrinkage Priors
by: Susmann, Herbert, et al.
Published: (2024)

Bayesian Copula Density Estimation Using Bernstein Yett-Uniform Priors
by: Kuschinski, Nicolás, et al.
Published: (2024)

Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
by: Chen, Shuoli, et al.
Published: (2023)

Spatiotemporal Besov Priors for Bayesian Inverse Problems
by: Lan, Shiwei, et al.
Published: (2023)

Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
by: Presicce, Luca, et al.
Published: (2026)

Bayesian Clustering Prior with Overlapping Indices for Effective Use of Multisource External Data
by: Lu, Xuetao, et al.
Published: (2024)

Mode-Matched Inverse Gamma Priors for Variance Components in Bayesian Multilevel Models
by: Liu, Liu
Published: (2025)

Jacobi Prior: An Alternative Bayesian Method for Supervised Learning
by: Das, Sourish, et al.
Published: (2024)

Average Causal Effect Estimation in DAGs with Hidden Variables: Beyond Back-Door and Front-Door Criteria
by: Guo, Anna, et al.
Published: (2024)

Beyond Independence: on Jointly Normal Priors in Bayesian Inversion
by: Nicholson, Ruanui, et al.
Published: (2026)

Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion
by: White, Rebekah D., et al.
Published: (2024)

Bayesian Multi-Group Functional Factor Models with Parameter-Expanded Cumulative Shrinkage Priors
by: Dai, Xuanye, et al.
Published: (2026)

Bayesian Group Regularization in Generalized Linear Models with a Continuous Spike-and-Slab Prior
by: Bai, Ray
Published: (2020)

Variational Prior Replacement in Bayesian Inference and Inversion
by: Zhao, Xuebin, et al.
Published: (2024)

Adaptive Shrinkage with a Nonparametric Bayesian Lasso
by: Marin, Santiago, et al.
Published: (2024)

Bayesian Adaptive Tucker Decompositions for Tensor Factorization
by: Stolf, Federica, et al.
Published: (2024)