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penalized likelihood

7 papers

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Co-occurring keywords · papers mentioning both

variable selection (3) covariate selection (1) degree heterogeneity (1) graph model (1) selection consistency (1) bic model selection (1) structured latent attribute model (1) concave penalty (1) cluster elastic net (1) directed network (1)

Papers

Learning Gaussian DAGs from Network Data JMLR 2024 An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models JMLR 2019 A Cluster Elastic Net for Multivariate Regression JMLR 2018 Concave Penalized Estimation of Sparse Gaussian Bayesian Networks JMLR 2015 Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007