Showing 1–20 of 20 results
/ Date/ Name
Dec 22, 2023Algebraic Sparse Factor AnalysisAug 3, 2023Identifiability of Homoscedastic Linear Structural Equation Models using Algebraic MatroidsFeb 2, 2023Unpaired Multi-Domain Causal Representation LearningNov 21, 2022High-Dimensional Undirected Graphical Models for Arbitrary Mixed DataAug 13, 2022Learning Linear Non-Gaussian Polytree ModelsAug 1, 2022Graphical Representations for Algebraic Constraints of Linear Structural Equations ModelsAug 26, 2020On the power of Chatterjee rank correlationJun 10, 2020Structure Learning for Cyclic Linear Causal ModelsOct 26, 2018Algebraic tests of general Gaussian latent tree modelsOct 11, 2016Computation of maximum likelihood estimates in cyclic structural equation modelsApr 12, 2015Generic Identifiability of Linear Structural Equation Models by Ancestor DecompositionMar 28, 2015Laplace Approximation in High-dimensional Bayesian RegressionJul 5, 2012Robust Bayesian inference of networks using Dirichlet t-distributionsJul 27, 2011Half-trek criterion for generic identifiability of linear structural equation modelsNov 30, 2010Extended Bayesian Information Criteria for Gaussian Graphical ModelsOct 16, 2010Exact block-wise optimization in group lasso and sparse group lasso for linear regressionMar 4, 2010Global identifiability of linear structural equation modelsJan 19, 2010On a parametrization of positive semidefinite matrices with zerosJan 26, 2006Computing maximum likelihood estimates in recursive linear models with correlated errorsAug 15, 2005Multiple Testing and Error Control in Gaussian Graphical Model Selection