Nina Grundlingh

Target Permutation for Feature Significance and Applications in Neural Networks

2024

Statistical techniques like generalized linear models have always been the indispensable tools for understanding relationships in data. However, over the last two decades, growth in data size and complexity has fueled the rise of powerful …