The key assumption in regression discontinuity analysis is that the distribution of potential outcomes varies smoothly with the running variable around the cutoff. In many empirical contexts, however, ...

In this work, we explore further complexity reduction by proposing a simple linear regression (LR) -based EVM monitoring method. We systematically compare the performance of the proposed method with ...

python scikit-learn data-analysis linear-regression-models model-deployment jupiter-notebook joblib standardscaler car-price-prediction-with-machine-learning Updated 3 weeks ago Jupyter Notebook ...

First, a linear regression SVM framework for general nonlinear kernel is proposed using linear regression to approximate gradient computations in the learning process. Second, we propose a power mean ...