ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2016
Joint Estimation of Multiple Graphical Models from High Dimensional Time Series.
Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- GUEST: an R package for handling estimation of graphical structure and multiclassification for error-prone gene expression data.Bioinformatics (Oxford, England) · 2024Article
- Time-varying dynamic Bayesian network learning for an fMRI study of emotion processing.Statistics in medicine · 2024Article
- Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning.Journal of the American Statistical Association · 2024Article
- Identifying stationary microbial interaction networks based on irregularly spaced longitudinal 16S rRNA gene sequencing data.Frontiers in microbiomes · 2024Article
- Conditional Functional Graphical Models.Journal of the American Statistical Association · 2023Article
- Single-index models with functional connectivity network predictors.Biostatistics (Oxford, England) · 2022Article
- Penalized model-based clustering of fMRI data.Biostatistics (Oxford, England) · 2022Article
- Joint Structural Break Detection and Parameter Estimation in High-Dimensional Non-Stationary VAR Models.Journal of the American Statistical Association · 2022Article
- Hypothesis Testing for Network Data with Power Enhancement.Statistica Sinica · 2022Article
- A random covariance model for bi-level graphical modeling with application to resting-state fMRI data.Biometrics · 2021Article
- Fast hybrid Bayesian integrative learning of multiple gene regulatory networks for type 1 diabetes.Biostatistics (Oxford, England) · 2021Article
- Paired test of matrix graphs and brain connectivity analysis.Biostatistics (Oxford, England) · 2021Article
- Network Modeling in Biology: Statistical Methods for Gene and Brain Networks.Statistical science : a review journal of the Institute of Mathematical Statistics · 2021Article
- Bayesian Joint Modeling of Multiple Brain Functional Networks.Journal of the American Statistical Association · 2021Article
- Article
- Bayesian modeling of dependence in brain connectivity data.Biostatistics (Oxford, England) · 2020Article
- LARGE MULTIPLE GRAPHICAL MODEL INFERENCE VIA BOOTSTRAP.Statistica Sinica · 2020Article
- Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis.Journal of the American Statistical Association · 2020Article
- Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series.Entropy (Basel, Switzerland) · 2019Article
- LOCALIZING DIFFERENTIALLY EVOLVING COVARIANCE STRUCTURES VIA SCAN STATISTICS.Quarterly of applied mathematics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In this manuscript we consider the problem of jointly estimating multiple graphical models in high dimensions. We assume that the data are collected from
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.