A conditional gradient approach for nonparametric estimation of mixing distributions

Keyphrases

• Nonparametric Estimation 100%
• Gradient Approach 100%
• Conditional Gradient 100%
• Mixing Distribution 100%
• Convex Programming 33%
• Mixture Model 33%
• Mixing Ratio 16%
• Estimation Problem 16%
• Econometrics 16%
• Error Metrics 16%
• Synthetic Data 16%
• Expectation Maximization 16%
• Log-likelihood Ratio 16%
• Endogeneity 16%
• Logit Model 16%
• Decision Accuracy 16%
• Model Misspecification 16%
• Frank-Wolfe Algorithm 16%
• Likelihood Loss 16%
• In-sample Fit 16%
• Metric Accuracy 16%
• Sublinear Convergence Rate 16%
• Likelihood-based Estimation 16%

Mathematics

• Conditionals 100%
• Convex Programming 100%
• Mixture Model 100%
• Nonparametric Estimation 100%
• Parametric 50%
• Synthetic Data 50%
• Convergence Rate 50%
• Log Likelihood 50%
• Logit Model 50%
• Model Misspecification 50%
• Wolfe Algorithm 50%

Economics, Econometrics and Finance

• Logit Model 100%
• Econometrics 100%
• Scientific Modelling 100%