Approximate Bayesian inference for large spatial datasets using predictive process models

Computer Science

• Process Model 100%
• markov chain monte-carlo 66%
• Large Data Set 33%
• Hierarchical Model 33%
• Scientific Data 33%
• Rendering Algorithm 33%
• Computation Matrix 33%
• Computational Complexity 33%
• Synthetic Data 33%
• Laplace Approximation 33%
• Spatial Location 33%

Keyphrases

• Approximate Bayesian Inference 100%
• Predictive Process Model 100%
• Hierarchical Spatial Model 66%
• Spatial Inference 33%
• Matrix Computation 33%