Titlebook: Recent Trends and Future Challenges in Learning from Data; Cristina Davino,Francesco Palumbo,Hans A. Kestler Conference proceedings 2024 T

跳動(dòng)

Inscrutable

tympanometry

Building Hierarchies of Factors with Disjoint Factor Analysis,riables related to a specific factor consistently measure a unique theoretical construct. The new method is employed to build hierarchies of factors for the Holzinger–Swineford 24-variable data set. A final discussion completes the chapter.

judicial

蔓藤圖飾

Orchiectomy

Computational Models Supporting Decision-Making in Managing Publication Activity at Polish Universiation of scientific activity in Poland, the process of evaluating publication activity, the concept of the optimization model, and the effects of its implementation. The paper is based on data relating to the evaluation process carried out in Poland in 2022.

錯(cuò)誤

Choice-Based Optimization Under a High-Dimensional Multinomial Logit Model,hod to estimate the MNL model. For complex data sets, this improves the estimation results and, based on that, the optimization results. We consider realistically designed synthetic location problem instances. The results are used to analyze the quality of the solutions to the location problems depending on the estimation methods used.

偽造者

Classification of Polish Fund Market During COVID-19 Pandemic: Extreme Risk Modelling Approach,l with these types of problems using EVT, but we know how little we know about the extremes of the distribution of interest. The purpose of this paper is to apply the listed approaches to the assessment of extreme investment risk, using selected mutual funds having pricing in the new technology sector, in the era of the COVID-19 pandemic.

悲觀

,Asynchronous and Synchronous–Asynchronous Particle Swarms,tations, adjustable update parameters, and swarm properties, as well as several possible end conditions. Our benchmark results show good agreement compared to existing implementations and demonstrate that the introduced framework can lead to significant performance improvements with respect to execution time and the number of iterations.

發(fā)微光

The Impact of the COVID-19 Pandemic on Modelling Volatility and Risk Analysis of Returns in Selecteble). Risk analysis is performed using two quantile risk measures: VaR and Expected Shortfall. We compare the results for pre-pandemic and pandemic period. We found out that COVID-19 pandemic has a significant impact on the level of volatility and extreme risk in all analyzed countries.