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lspartition: Partitioning-Based Least Squares Regression
Matias D. Cattaneo
, Max H. Farrell
, Yingjie Feng
Operations Research & Financial Engineering
Center for Statistics & Machine Learning
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Keyphrases
Least Squares Regression
100%
Regression Function
50%
Nonparametric
50%
Data-driven Methods
50%
Treatment Control
50%
Regression-based Method
50%
Unknown Function
50%
Least Squares
50%
Point Estimation
50%
Valid Inference
50%
Multivariate Regression
50%
Point Estimator
50%
Spline Wavelets
50%
Regression Estimation
50%
Sample Analysis
50%
Confidence Band
50%
R Software
50%
Partition number
50%
Numerical Characteristics
50%
Integrated Mean Squared Error
50%
Spline Polynomial
50%
Conditioning Variable
50%
Controlled Comparison
50%
Inpatient Treatment
50%
Piecewise Polynomials
50%
Robust Bias Correction
50%
Methodological Factors
50%
Feng
50%
Mathematics
Least Squares Regression
100%
Polynomial
50%
Regression Function
50%
Pointwise
50%
Confidence Band
50%
Mean Square Error
50%
Point Estimation
50%
Regression Estimation
50%
Multivariate Regression
50%
Point Estimator
50%
Spline Wavelet
50%
Least Squares Method
50%