Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models

Mathematics

• Bayesian 100%
• Mixture Model 100%
• Point Process 50%
• Spike Train 50%
• Stochastics 25%
• Wide Range 25%
• Random Variable 25%
• Data Point 25%
• Bayesian Inference 25%
• Observed Data 25%
• Finite Mixture Model 25%
• Supplementary Material 25%

Keyphrases

• Neyman-Scott Process 100%
• Bayesian Nonparametric Mixture Models 100%
• Document Streams 28%
• Collapsed Gibbs Sampling 14%
• Train Detection 14%
• Mixture of Finite Mixture Models 14%
• Bayesian Mixture Model 14%