Skip to main navigation
Skip to search
Skip to main content
Tel Aviv University Home
Update Request & User Guide (TAU staff only)
Home
Experts
Research units
Research output
Datasets
Prizes
Activities
Press/Media
Search by expertise, name or affiliation
Capturing between-tasks covariance and similarities using multivariate linear mixed models
Aviv Navon
*
,
Saharon Rosset
*
Corresponding author for this work
School of Mathematical Sciences
Bar-Ilan University
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Capturing between-tasks covariance and similarities using multivariate linear mixed models'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Explanatory Variables
100%
Covariance
100%
Multivariate Linear Mixed Model
100%
Model Setting
50%
Group Formation
50%
Response Variable
50%
Group Structure
50%
Within-group
50%
Synthetic Instances
50%
Joint Estimation
50%
Real Examples
50%
Coefficient Matrix
50%
Covariance Estimation
50%
Multivariate Regression Model
50%
Model Formulation
50%
Penalized Likelihood
50%
Random Regression
50%
Joint Sparsity
50%
Covariance Matrix Estimation
50%
Mathematics
Covariance
100%
Linear Mixed Model
100%
Explanatory Variable
100%
Regression Model
50%
Multivariate Regression
50%
Response Variable
50%
Coefficient Matrix
50%
Covariance Matrix
50%
Model Formulation
50%