“I only have point data for machine learning explanatory variables” — Rasterizing distance, density, and proximity for use as predictive model inputs

Introduction“I want to predict demand using GWR or Random Forest, but all I have is point data like facility locations or ...
Nature

Knockoff Variable Selection in High-Dimensional Statistics

Variable selection in high-dimensional settings addresses the challenge of identifying relevant predictors when the number of features greatly exceeds the number of observations. The knockoff ...
Nature

Statistical Convergence of Random Variables

Statistical convergence of random variables provides a rigorous framework to describe how sequences of random quantities approach limiting behaviour in probability, in distribution and in more refined ...