Large sample properties of partitioning-based series estimators

Mathematics

• Partitioning 83%
• Series 51%
• Estimator 50%
• Approximation 42%
• Mean Integrated Squared Error 28%
• Bias Correction 27%
• Parameter Selection 27%
• Asymptotic Bias 26%
• Confidence Bands 26%
• Least Squares Regression 25%
• Tuning 24%
• Econometrics 23%
• Machine Learning 23%
• Conditional Expectation 23%
• Piecewise Polynomials 22%
• Nonparametric Regression 22%
• Spline 19%
• Wavelets 18%
• Statistic 18%
• Univariate 18%
• Valid 15%
• Statistics 14%
• Restriction 14%
• Characterization 11%

Business & Economics

• Partitioning 100%
• Approximation 69%
• Estimator 67%
• Nonparametric Regression 40%
• Bias Correction 39%
• Asymptotic Bias 31%
• Statistics 31%
• Machine Learning 27%
• Splines 27%
• Conditional Expectation 27%
• Mean Squared Error 25%
• Wavelets 24%
• Least Squares 22%
• Polynomials 20%
• Inference 17%
• Econometrics 17%
• Confidence 16%
• Characterization 16%
• Integrated 12%