Partial separability and functional graphical models for multivariate Gaussian processes
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Partial separability and functional graphical models for multivariate Gaussian processes
Authors
Keywords
-
Journal
BIOMETRIKA
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-10-01
DOI
10.1093/biomet/asab046
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Doubly functional graphical models in high dimensions
- (2019) Xinghao Qiao et al. BIOMETRIKA
- A nonparametric graphical model for functional data with application to brain networks based on fMRI
- (2017) Bing Li et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
- (2017) Clara Happ et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Functional Graphical Models
- (2017) Xinghao Qiao et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Fréchet integration and adaptive metric selection for interpretable covariances of multivariate functional data
- (2016) Alexander Petersen et al. BIOMETRIKA
- Multivariate functional linear regression and prediction
- (2016) Jeng-Min Chiou et al. JOURNAL OF MULTIVARIATE ANALYSIS
- A multi-modal parcellation of human cerebral cortex
- (2016) Matthew F. Glasser et al. NATURE
- Functional Data Analysis
- (2016) Jane-Ling Wang et al. Annual Review of Statistics and Its Application
- Joint estimation of multiple graphical models from high dimensional time series
- (2015) Huitong Qiu et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Optimal eigen expansions and uniform bounds
- (2015) Moritz Jirak PROBABILITY THEORY AND RELATED FIELDS
- Linear manifold modelling of multivariate functional data
- (2013) Jeng-Min Chiou et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- 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
- Function in the human connectome: Task-fMRI and individual differences in behavior
- (2013) Deanna M. Barch et al. NEUROIMAGE
- The minimal preprocessing pipelines for the Human Connectome Project
- (2013) Matthew F. Glasser et al. NEUROIMAGE
- Functional singular component analysis
- (2011) Wenjing Yang et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
- (2011) Pradeep Ravikumar et al. Electronic Journal of Statistics
- Time varying undirected graphs
- (2010) Shuheng Zhou et al. MACHINE LEARNING
- Partial Correlation Estimation by Joint Sparse Regression Models
- (2009) Jie Peng et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk 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