Optimal design for correlated processes with input-dependent noise

Keyphrases

• Parameter Estimation 100%
• Gaussian Process Regression 100%
• Input Noise 100%
• Fisher Information 100%
• Correlated Processes 100%
• Stochastic Simulator 100%
• Motivation 50%
• Synthetic Data 50%
• Wide Context 50%
• Gaussian Process 50%
• Gaussian Process Model 50%
• Kriging 50%
• Response Model 50%
• Random Inputs 50%
• Heteroscedastic Gaussian Process 50%
• Space-filling Design 50%
• Optimal Experimental Design 50%
• Simulation Experiment 50%
• Systems Biology 50%
• Heteroscedastic Model 50%
• Parameter Variance 50%
• Repeated Evaluation 50%
• Gaussian Process Emulator 50%
• Stochastic Response 50%
• Experimental Design Method 50%
• Computer Experiments 50%
• Statistical Surrogates 50%

Mathematics

• Design Experiment 100%
• Optimal Design 100%
• Correlated Process 100%
• Gaussian Process 75%
• Stochastics 75%
• Kriging 75%
• Replicate 75%
• Variance 50%
• Fisher Information 50%
• Synthetic Data 25%
• Parameter Estimation 25%
• Regression Model 25%
• Parameter Estimate 25%
• Response Model 25%
• Process Parameter 25%