Joint estimation of multiple graphical models from high dimensional time series
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Joint estimation of multiple graphical models from high dimensional time series
Authors
Keywords
-
Journal
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
Volume 78, Issue 2, Pages 487-504
Publisher
Wiley
Online
2015-07-06
DOI
10.1111/rssb.12123
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- High-dimensional semiparametric Gaussian copula graphical models
- (2013) Han Liu et al. ANNALS OF STATISTICS
- Regularized rank-based estimation of high-dimensional nonparanormal graphical models
- (2013) Lingzhou Xue et al. ANNALS OF STATISTICS
- The joint graphical lasso for inverse covariance estimation across multiple classes
- (2013) Patrick Danaher et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
- (2012) Po-Ling Loh et al. ANNALS OF STATISTICS
- Joint estimation of multiple graphical models
- (2011) J. Guo et al. BIOMETRIKA
- Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis
- (2011) Gang Chen et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- (2011) Tony Cai et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Test–retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures
- (2011) Urs Braun et al. NEUROIMAGE
- Imaging brain development: The adolescent brain
- (2011) Sarah-Jayne Blakemore NEUROIMAGE
- The influence of head motion on intrinsic functional connectivity MRI
- (2011) Koene R.A. Van Dijk et al. NEUROIMAGE
- Functional Network Organization of the Human Brain
- (2011) Jonathan D. Power et al. NEURON
- Spatially Varying Autoregressive Processes
- (2011) Aline A. Nobre et al. TECHNOMETRICS
- Estimating time-varying networks
- (2010) Mladen Kolar et al. Annals of Applied Statistics
- Stability selection
- (2010) Nicolai Meinshausen et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Time varying undirected graphs
- (2010) Shuheng Zhou et al. MACHINE LEARNING
- Functional MRI and multivariate autoregressive models
- (2010) Baxter P. Rogers et al. MAGNETIC RESONANCE IMAGING
- Toward discovery science of human brain function
- (2010) B. B. Biswal et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- KELLER: estimating time-varying interactions between genes
- (2009) L. Song et al. BIOINFORMATICS
- Neurodevelopmental Trajectories of the Human Cerebral Cortex
- (2008) P. Shaw et al. JOURNAL OF NEUROSCIENCE
- Statistical analysis of a spatio-temporal model with location-dependent parameters and a test for spatial stationarity
- (2008) Suhasini Subba Rao JOURNAL OF TIME SERIES ANALYSIS
- Sparse permutation invariant covariance estimation
- (2008) Adam J. Rothman et al. Electronic Journal of Statistics
- A SINful approach to Gaussian graphical model selection
- (2007) Mathias Drton et al. JOURNAL OF STATISTICAL PLANNING AND INFERENCE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started