Abstract: Testing the independence of the entries of multidimensional Gaussian observations is a very important problem in statistics, with a number of applications in signal processing, radar, ...

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines. Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

ABSTRACT: The purpose of this study is to analyse the effects of financial subsidies on the productivity of public enterprises in Sub-Saharan Africa. Based on theories of public enterprise management ...

Abstract: We consider the problem of estimating high-dimensional covariance matrices of $K$-populations or classes in the setting where the sample sizes are ...