research_data contains the data, code, and results files for the paper Estimation of Technical Change: Direct Semi/nonparametric Approaches by Subal C. Kumbhakar, Mingyang Li, and Shunan Zhao. The mat
Expected shortfall (ES) has emerged as an important metric for characterizing the tail behavior of a random outcome, specifically associated with rarer events that entail severe consequences. In clima
Data for the paper [paper name]. one *.xlsx file with the point samples used in the kernel density estimation, as well as its corresponding references ("point_samples.xlsx")
This article introduces lookout , a new approach to detect outliers using leave-one-out kernel density estimates and extreme value theory. Outlier detection methods that use kernel density estim
The halfspace depth is a well-studied tool of nonparametric statistics in multivariate spaces. We introduce a flag halfspace – an intermediary between a closed halfspace and its interior – and demonst
