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Found 2 papers, 1 papers with code
A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution
In this paper we present the results from an empirical power comparison of 40 goodness-of-fit tests for the univariate Laplace distribution, carried out using Monte Carlo simulations with sample sizes $n = 20, 50, 100, 200$, significance levels $\alpha = 0. 01, 0. 05, 0. 10$, and 400 alternatives consisting of asymmetric and symmetric light/heavy-tailed distributions taken as special cases from 11 models.
Methodology 62F03
A Unified Parallel Algorithm for Regularized Group PLS Scalable to Big Data
Partial Least Squares (PLS) methods have been heavily exploited to analyse the association between two blocs of data.
