Order-based structure learning without score equivalence

Efficient Sampling and Structure Learning of Bayesian Networks

(2021) Jack Kuipers et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Revisiting the Gelman–Rubin Diagnostic

(2021) Dootika Vats et al.   STATISTICAL SCIENCE

Bayesian inference of causal effects from observational data in Gaussian graphical models

(2020) Federico Castelletti et al.   BIOMETRICS

On causal discovery with an equal-variance assumption

(2019) Wenyu Chen et al.   BIOMETRIKA

Cutoff for random to random card shuffle

(2019) Megan Bernstein et al.   ANNALS OF PROBABILITY

Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors

(2019) Kyoungjae Lee et al.   ANNALS OF STATISTICS

Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models

(2018) Xuan Cao et al.   ANNALS OF STATISTICS

Structure Learning in Graphical Modeling

(2017) Mathias Drton et al.   Annual Review of Statistics and Its Application

On the computational complexity of high-dimensional Bayesian variable selection

(2016) Yun Yang et al.   ANNALS OF STATISTICS

$\ell_{0}$-penalized maximum likelihood for sparse directed acyclic graphs

(2013) Sara van de Geer et al.   ANNALS OF STATISTICS

Identifiability of Gaussian structural equation models with equal error variances

(2013) J. Peters et al.   BIOMETRIKA

Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs

(2010) A. Shojaie et al.   BIOMETRIKA

Objective Bayesian model selection in Gaussian graphical models

(2009) C. M. Carvalho et al.   BIOMETRIKA

Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move

(2008) Marco Grzegorczyk et al.   MACHINE LEARNING