معرفی
Dániel Kehl is an Associate Professor at the University of Pécs, Faculty of Business and Economics, specializing in the Department of Economics and Econometrics. He teaches Probability and Statistics (bachelor level) and data-related courses (doctoral level) in both Hungarian and English. His research focuses on applied statistics, data processing, and pattern identification, with particular interest in truncation bias and data visualization.
- Education: PhD (2012), Habilitation (2022) from University of Pécs
- Key Skills: R programming, econometric modeling, business research
His recent publications analyze fuel panic buying, entrepreneurial social identities, and football player market values. He actively contributes to academic and business research projects and serves as a leader in the Hungarian R programming community.
Scientific Awards:
- Executive Fellow, University of Pécs
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