Gradient Boosting with Random Effects
6024
How to deal with hierarchical / nested data in machine learning
81515
Method for generating correlated non-normal data
88758
machine learning techniques for longitudinal data
12981
Coordinate descent soft-thresholding update operator for LASSO
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
41608
Weighted principal components analysis
112897
Weighted random selection with and without replacement
152395
Random matrix theory impact on covariance matrix analysis
96964
Model Selection: Logistic Regression
140391
Minimum sample size per cluster in a random effect model
20178
Ljung-Box finite sample adjustments
150758
How does cross-validation overcome the overfitting problem?
65682
Why does universal generalization work? (the rule of inference)
108828
Kernel Ridge Regression Efficiency
27545
Can I probe cross-level interactions without random slope in a hierarchical linear model?
102141
Hacking linear regression
20173
hard voting, soft voting in ensemble based methods