Reconstruction of a directed acyclic graph with intervention
From MaRDI portal
Publication:2215953
DOI10.1214/20-EJS1767zbMath1455.62031WikidataQ104135759 ScholiaQ104135759MaRDI QIDQ2215953
Wei Pan, Si Peng, Xiaotong Shen
Publication date: 15 December 2020
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1605582080
Applications of graph theory (05C90) Graphical methods in statistics (62A09) Probabilistic graphical models (62H22)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- On constrained and regularized high-dimensional regression
- The max-min hill-climbing Bayesian network structure learning algorithm
- A central limit theorem under metric entropy with \(L_ 2\) bracketing
- Causation, prediction, and search
- Local asymptotics for regression splines and confidence regions
- Statistics and causal inference: A review. (With discussion)
- Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
- High-dimensional consistency in score-based and hybrid structure learning
- Learning Causal Bayesian Network Structures From Experimental Data
- Introduction to Graphical Modelling
- 10.1162/153244303321897717
- Likelihood-Based Selection and Sharp Parameter Estimation
- Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent
- Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
- Identifiability of Gaussian structural equation models with equal error variances
- Constrained likelihood for reconstructing a directed acyclic Gaussian graph