JOURNAL ARTICLE
Federated causal structure learning with missing data
Jiaqi ShiXiaoling HuangXianjie GuoKui YuChengxiang HuPeng Zhou
Year: 2025 Journal: Knowledge-Based Systems Vol: 330 Pages: 114601-114601 Publisher: Elsevier BV
Keywords:
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
25
Refs
0.44
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Data Quality and Management
Social Sciences → Decision Sciences → Management Science and Operations Research
Bayesian Modeling and Causal Inference
Physical Sciences → Computer Science → Artificial Intelligence
Privacy-Preserving Technologies in Data
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
JOURNAL ARTICLE
Local causal structure learning with missing data
Shaojing ShengXianjie GuoKui YuXindong Wu
Journal: Expert Systems with Applications Year: 2023 Vol: 238 Pages: 121831-121831
JOURNAL ARTICLE
Federated Causal Structure Learning with High-Dimensional Data
Zheng DingXiaoling HuangChengxiang Hu
Year: 2025 Pages: 1998-2003
JOURNAL ARTICLE
Federated local causal structure learning
Kui YuRong ChenHao WangFuyuan CaoJiye Liang
Journal: Science China Information Sciences Year: 2025 Vol: 68 (3)
BOOK-CHAPTER
Towards Practical Federated Causal Structure Learning
Zhaoyu WangPingchuan MaShuai Wang
Lecture notes in computer science Year: 2023 Pages: 351-367
JOURNAL ARTICLE
Learning causal structure from mixed data with missing values using Gaussian copula models
Journal: Statistics and Computing Year: 2018 Vol: 29 (2)Pages: 311-333