activity
20162025
most citedCombating harmful Internet use with peer assessment and differential evolution

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

collaborators

5 papers

stat.ME2025

Improving ex ante accuracy assessment in predicting house price dispersion: evidence from the USA

Adam Chwila, Monika Hadaś-Dyduch, Małgorzata Krzciuk +3

The study focuses on improving the ex ante prediction accuracy assessment in the case of forecasting various house price dispersion measures in the USA. It addresses a critical gap…

stat.ME2024

WASP: Voting-based ex Ante method for Selecting joint Prediction strategy

Alicja Wolny-Dominiak, Tomasz Żądło

This paper addresses the topic of choosing a prediction strategy when using parametric or nonparametric regression models. It emphasizes the importance of ex ante prediction accura…

cs.CY2022★ 3 cited

Combating harmful Internet use with peer assessment and differential evolution

W. W. Koczkodaj, M. Mazurek, W. Pedrycz +8

Harmful Internet use (HIU) is a term coined for the unintended use of the Internet. In this study, we propose a more accurate HIU measuring method based on the peer assessment and…

stat.CO2017★ 1 cited

RatingScaleReduction package: stepwise rating scale item reduction without predictability loss

Waldemar W. Koczkodaj, Alicja Wolny-Dominiak

This study presents an innovative method for reducing the number of rating scale items without predictability loss. The "area under the re- ceiver operator curve method" (AUC ROC)…

q-fin.RM2016

The hierarchical generalized linear model and the bootstrap estimator of the error of prediction of loss reserves in a non-life insurance company

Alicja Wolny-Dominiak

This paper presents the hierarchical generalized linear model (HGLM) for loss reserving in a non-life insurance company. Because in this case the error of prediction is expressed b…