Generalized Bayes Quantification Learning under Dataset Shift

Mathematics

• Quantification 100%
• Bayes 95%
• Learning 81%
• Classifier 44%
• Compositional Data 42%
• Prediction 31%
• Training 21%
• Loss Function 20%
• Categorical 18%
• Multiple Classifiers 18%
• Misclassification Rate 15%
• Posterior Consistency 15%
• Knowledge 15%
• Output 14%
• Robust Inference 14%
• Coarsening 12%
• Specificity 12%
• Gibbs Sampler 11%
• Rounding 11%
• Estimating Equation 11%
• Ensemble 9%
• Coverage 9%
• Asymptotic Normality 9%
• Data analysis 9%
• Entire 8%
• Uncertainty 8%
• Inclusion 8%
• Valid 7%
• Moment 6%
• Model 6%
• Simulation 6%
• Performance 5%
• Class 5%
• Interval 5%
• Subset 5%
• Approximation 5%
• Estimate 4%

Business & Economics

• Quantification 94%
• Classifier 59%
• Prediction 32%
• Loss Function 22%
• Robust Inference 15%
• Gibbs Sampler 15%
• Asymptotic Normality 13%
• Misclassification 13%
• Specificity 9%
• Inclusion 8%
• Approximation 8%
• Simulation 6%
• Uncertainty 5%
• Performance 3%