Bernstein--von Mises Theorems and Uncertainty Quantification for Linear Inverse Problems

Mathematics

• Gaussian Distribution 100%
• Linear Inverse Problems 100%
• Frequentist 100%
• Elliptic Boundary Value Problem 100%
• Uncertainty Quantification 100%
• Linear Functionals 50%
• Probability Measure 50%
• Covariance 50%
• Posterior Distribution 50%
• Heat Equation 50%
• Bayesian Approach 50%
• Unknown Function 50%
• Hilbert Space 50%
• Gaussian Standard 50%

INIS

• boundary-value problems 100%
• norm 50%
• convergence 50%
• heat 50%
• hilbert space 50%
• distribution 50%
• penalties 50%
• probability 50%
• equations 50%
• functionals 50%
• kernels 50%
• additives 50%

Keyphrases

• Efficient Estimator 50%
• Gaussian Prior 50%
• Credible Ball 50%
• Gaussian Probability 50%
• Norm Penalty 50%
• Elliptic Inverse Problems 50%
• Reproducing Kernel Hilbert Space 50%
• Posterior Estimation 50%
• Prior-independent 50%