Two perspectives on high-dimensional estimation problems: posterior contraction and median-of-means

Mathematics

• Gaussian 100%
• Standard Deviation 100%
• Nuisance Parameter 66%
• Regression Function 66%
• Zeros 66%
• Posterior Distribution 66%
• Residuals 66%
• Frequentist 66%
• Bayesian Approach 66%
• Minimax 66%
• Gaussian Process 33%
• Bayesian 33%
• Scale Invariance 33%
• Minimax Estimation 33%
• Square Root 33%
• Square Regression 33%
• Underlying Structure 33%
• Model Selection 33%
• Deep Neural Network 33%
• Maximum Likelihood 33%
• Asymptotics 33%
• Number 33%
• Regression Model 33%
• Least Square 33%
• Linear Regression 33%
• Convergence Rate 33%
• Deep Learning 33%
• Outlier 33%
• Nonparametric Regression Model 33%

Economics, Econometrics and Finance

• Measure of Dispersion 100%
• Bayesian 60%
• Estimation Theory 60%
• Gaussian Process 20%
• Learning 20%
• Consistency 20%