Non-parametric spatial models for clustered ordered periodontal data

Keyphrases

• Periodontal Disease 100%
• Spatial Modeling 100%
• Nonparametric 100%
• Disease Status 75%
• Periodontal Pathology 50%
• Clinical Attachment Level 50%
• Ordinal Response 50%
• Simulation Study 25%
• Information Sharing 25%
• Disease Data 25%
• Site-level 25%
• Bayesian Approach 25%
• Disease Process 25%
• Parameter Estimation 25%
• Underlying Disease 25%
• Spatial Association 25%
• Spatial Clustering 25%
• Error-prone 25%
• Level Measure 25%
• Precision Matrix 25%
• Conditional Independence 25%
• Whole numbers 25%
• Multivariate Probit 25%
• Stick-breaking 25%
• Nonparametric Bayesian 25%
• Probit Stick Breaking Process 25%
• G-Wishart 25%
• Latent Disease 25%
• Natural Clustering 25%
• Multivariate Gaussian Density 25%
• Popular 25%
• Simulation Applications 25%
• Gaussian Graphs 25%

Mathematics

• Parametric 100%
• Disease Status 100%
• Gaussian Distribution 66%
• Disease Progression 66%
• Ordinal Response 66%
• Simulation Study 33%
• Bayesian 33%
• Matrix 33%
• Clustering 33%
• Cut Point 33%
• Parameter Estimation 33%
• Bayesian Approach 33%
• Conditional Independence 33%
• Whole Number 33%