4 citations · 4 across the 2 of their papers we have counts for
4 papers
Resampling Methods for Detecting Anisotropic Correlation Structure
Assaf Rabinowicz, Saharon Rosset
This paper proposes parametric and non-parametric hypothesis testing algorithms for detecting anisotropy -- rotational variance of the covariance function in random fields. Both al…
Trees-Based Models for Correlated Data
Assaf Rabinowicz, Saharon Rosset
This paper presents a new approach for trees-based regression, such as simple regression tree, random forest and gradient boosting, in settings involving correlated data. We show t…
Cross-Validation for Correlated Data
Assaf Rabinowicz, Saharon Rosset
K-fold cross-validation (CV) with squared error loss is widely used for evaluating predictive models, especially when strong distributional assumptions cannot be taken. However, CV…
Assessing Prediction Error at Interpolation and Extrapolation Points
Assaf Rabinowicz, Saharon Rosset
Common model selection criteria, such as and its variants, are based on in-sample prediction error estimators. However, in many applications involving predicting at interpola…