Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields

Computer Science

• Markov Random Fields 40%
• Mobile Sensor 40%
• Sensor Networks 40%
• Predictive Inference 20%
• Spatial Prediction 20%
• Scalability 20%
• Computational Efficiency 20%
• Prediction Error 20%
• Bayesian Perspective 20%
• Precision Matrix 20%
• Distributed Version 20%
• Design 20%

Earth and Planetary Sciences

• Algorithms 100%
• Prediction 60%
• Experiment 20%
• Position (Location) 20%
• Interest 20%
• Sampling 20%
• Strategy 20%
• Effectiveness 20%