In a fuzzy regression discontinuity (RD) design, the probability of treatment jumps when a running variable (R) passes a threshold (R0). Fuzzy RD estimates are obtained via a procedure analogous to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

The hat matrix is an important auxiliary quantity in linear regression theory for detecting errors in predictors. Traditionally, the comparison of the diagonal elements with a calibration point serves ...

Here X represents a matrix of x values to predict, where each row is a vector of predictor values. Although it's possible to write GPR equations relative to a single input x vector, it's common to ...

Xu, W. and Tang, X. (2009) Ridge Estimate on Moore-Penrose Inverse Matrix of Generalized Linear Regression Model. Journal of Northeast Forestry University, 37, 108-119. has been cited by the following ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.