Estimation and prediction of Gaussian processes using generalized Cauchy covariance model under fixed domain asymptotics

Keyphrases

• Gaussian Process 100%
• Covariance Model 100%
• Fixed-domain Asymptotics 100%
• Covariance Function 80%
• Generalized Wendland 60%
• Gaussian Measure 60%
• Mean Square Error 40%
• Microergodic Parameter 40%
• Finite Sample 40%
• Misspecified 40%
• Asymptotic Distribution 40%
• Cauchy Model 40%
• True Model 40%
• Physical Systems 20%
• Maximum Likelihood Estimation 20%
• Biological Systems 20%
• Long-range Dependence 20%
• Strong Asymptotics 20%
• Simulation Study 20%
• Fractal Dimension 20%
• Maximum Likelihood Estimator 20%
• Maximum Distribution 20%
• Strong Consistency 20%
• Efficiency Prediction 20%
• Optimal Prediction 20%
• Geological System 20%
• Asymptotically Correct 20%
• Asymptotic Efficiency 20%

Mathematics

• Asymptotics 100%
• Gaussian Process 100%
• Covariance Function 100%
• Covariance Model 100%
• Gaussian Measure 75%
• Mean Square Error 50%
• Asymptotic Distribution 50%
• True Model 50%
• Sufficient Condition 25%
• Range Dependence 25%
• Maximum Likelihood 25%
• Simulation Study 25%
• Maximum Likelihood Estimator 25%
• Asymptotic Efficiency 25%
• Fractal Dimension 25%

INIS

• prediction 100%
• asymptotic solutions 100%
• gaussian processes 100%
• distribution 33%
• maximum-likelihood fit 33%
• errors 33%
• range 16%
• dimensions 16%
• simulation 16%
• efficiency 16%
• fractals 16%