On joint estimation of Gaussian graphical models for spatial and temporal data

Keyphrases

• Spatial Data 100%
• Gaussian Graphical Model 100%
• Temporal Data 100%
• Joint Estimation 100%
• Multigroup 66%
• Expression Level 33%
• Simulation Study 33%
• Statistical Inference 33%
• Selection Strategy 33%
• Microarray Data 33%
• Brain Regions 33%
• True Model 33%
• Markov Random Field Model 33%
• Shared Structure 33%
• Complex Structure 33%
• Individual Networks 33%
• Temporal Structure 33%
• Selection Consistency 33%
• Parallel Computing 33%
• Human Brain 33%
• Information Sharing 33%
• Spatial Structure 33%
• Temporal Dependence 33%
• Jointly Estimate 33%
• Brain Gene Expression 33%
• Graph Selection 33%
• Improved Estimation 33%
• Network Estimation 33%
• Multiple Time Periods 33%
• Gene Expression Microarray 33%
• Posterior Probability 33%
• Spatial Dependence 33%
• Complex Data Structures 33%
• Neighborhood Selection 33%

Computer Science

• Temporal Data 100%
• Graphical Model 100%
• Efficient Algorithm 33%
• Data Structure 33%
• Simulation Study 33%
• Complex Structure 33%
• Expression Level 33%
• Shared Information 33%
• Selection Method 33%
• Parallel Computer 33%
• markov random field model 33%
• Network Estimation 33%
• Posterior Probability 33%

Mathematics

• Gaussian Distribution 100%
• Graphical Model 100%
• Inferential Statistics 33%
• Simulation Study 33%
• Probability Theory 33%
• True Model 33%
• Data Structure 33%
• Bayesian 33%
• Markov Random Fields 33%
• Complex Structure 33%
• Spatial Data 33%
• Human Brain 33%