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20192026
most citedSpecification procedures for multivariate stable-Paretian laws for independent and for conditionally heteroskedastic data

4 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.RM2026

The impact of class imbalance in logistic regression models for low-default portfolios in credit risk

Willem D. Schutte, Charl Pretorius, Neill Smit +2

In this paper, we study how class imbalance, typical of low-default credit portfolios, affects the performance of logistic regression models. Using a simulation study with controll…

stat.ME2025

A Weighted Regression Approach to Break-Point Detection in Panel Data

Charl Pretorius, Heinrich Roodt

New procedures for detecting a change in the cross-sectional mean of panel data are proposed. The procedures rely on estimating nuisance parameters using certain cross-sectional me…

math.ST2023★ 4 cited

Specification procedures for multivariate stable-Paretian laws for independent and for conditionally heteroskedastic data

Simos G. Meintanis, John P. Nolan, Charl Pretorius

We consider goodness-of-fit methods for multivariate symmetric and asymmetric stable Paretian random vectors in arbitrary dimension. The methods are based on the empirical characte…

math.ST2019★ 4 cited

Fourier-type monitoring procedures for strict stationarity

Sangyeol Lee, Simos G. Meintanis, Charl Pretorius

We consider model-free monitoring procedures for strict stationarity of a given time series. The new criteria are formulated as L2-type statistics incorporating the empirical chara…

math.ST2019★ 3 cited

Tests for validity of the semiparametric heteroskedastic transformation model

Marie Hušková, Simos G. Meintanis, Charl Pretorius

There exist a number of tests for assessing the nonparametric heteroscedastic location-scale assumption. Here we consider a goodness-of-fit test for the more general hypothesis of…