Special issue – Communications in statistics – Case studies and data analysis – 6th stochastic modeling techniques and data analysis international conference

Abstract

This Special Issue on Statistical Methods and Data Analysis contains eleven invited articles presented at the 6th Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA2020). The invited articles, theoretical, experimental and observational, present new results that have applications in real-life problems. An important objective was to select articles that present new methods for analyzing real-life data and lead to the advancement of the related fields. The following articles are included in this Special Issue: Mark A. Caruana and Liam Grech present their work on “Automobile Insurance Fraud Detection.” They explore the risk of incurring financial losses from fraudulent claims concerning insurance companies. Alexander Kolnogorov and Denis Grunev in their paper on “Minimax Strategies for Bernoulli Two-Armed Bandit on a Moderate Control Horizon” consider a Bernoulli two-armed bandit problem on a moderate control horizon as applied to optimization of processing moderate amounts of data when there are two processing methods available with different a priori unknown efficiencies. Panagiota Giannouli, Alex Karagrigoriou, Christos Kountzakis and Kimon Ntotsis in their paper “Multilevel Dimension Reduction for Credit Scoring Modelling and Prediction: Empirical Evidence for Greece” propose an innovative approach to flexible and accurate credit scoring modeling with the use of not only financial but also credit behavioral characteristics. Norio Watanabe is discussing “Fuzzy Theories and Statistics – Fuzzy Data Analysis –” and introduces some statistical tools for analyzing fuzzy data. The fuzzy data analysis is important in the fields related to human sensitivity.