Inference in high-dimensional graphical models

25 January 2018

Papers citing "Inference in high-dimensional graphical models"

13 / 13 papers shown

Title
Rates of convergence and normal approximations for estimators of local dependence random graph models Jonathan R. Stewart 63 1 0 17 Apr 2024
Application of fused graphical lasso to statistical inference for multiple sparse precision matrices Qiuyan Zhang Zhidong Bai Lingrui Li Hu Yang 84 0 0 02 Mar 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 99 7 0 30 Dec 2022
Posterior contraction and uncertainty quantification for the multivariate spike-and-slab LASSO Yunyi Shen Sameer K. Deshpande 33 2 0 09 Sep 2022
Inferential Theory for Granular Instrumental Variables in High Dimensions Saman Banafti Tae-Hwy Lee 30 3 0 17 Jan 2022
Statistical Inference for Networks of High-Dimensional Point Processes Xu Wang Mladen Kolar Ali Shojaie 111 12 0 15 Jul 2020
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery M. Laszkiewicz Asja Fischer Johannes Lederer 81 6 0 01 May 2020
Gaussian Graphical Model exploration and selection in high dimension low sample size setting Thomas Lartigue Simona Bottani Stéphanie Baron O. Colliot S. Durrleman S. Allassonnière 42 6 0 11 Mar 2020
High-Dimensional Granger Causality Tests with an Application to VIX and News Andrii Babii Eric Ghysels Jonas Striaukas 46 107 0 13 Dec 2019
Distributionally Robust Formulation and Model Selection for the Graphical Lasso Pedro Cisneros-Velarde Sang-Yun Oh Alexander Petersen OOD 79 11 0 22 May 2019
De-biased graphical Lasso for high-frequency data Yuta Koike 17 9 0 04 May 2019
Joint Nonparametric Precision Matrix Estimation with Confounding Sinong Geng Mladen Kolar Oluwasanmi Koyejo 77 9 0 16 Oct 2018
Confidence intervals for high-dimensional Cox models Yi Yu Jelena Bradic R. Samworth 64 30 0 03 Mar 2018