Mathematical Methods in Economics (MME 2018) International Conference
Statistika: Statistics and Economy Journal
The total number of participants of this year's MME 2018 conference was more than 140 people coming from the Czech Republic, Spain, Finland, Poland, and Slovakia. The scientific programme started with a plenary session opened by the chair of the CSOR, Professor Miroslav Plevný. Then, the Dean of the Faculty of Management, Professor Vladislav Bína, welcomed all the participants in the campus of the Faculty of Management, and Lucie Váchová, head of Organising Committee, presented the main program
... ed the main program and all facilities. After these introductory talks, one regular invited plenary lecture was delivered. The lecture titled Dreaming of Fair Democracy -Limitations of Collective Decision Making was given by Professor Milan Vlach (Charles University, Prague, Czech Republic). After the plenary session, the programme of the conference was divided into 5 parallel sessions. The total number of presentations was more than 110. All accepted papers are published in the Proceedings of the MME 2018. They are submitted, as in the previous years, for indexing in the Web of Science. It has been a long tradition that during MME conferences a competition of PhD students for the best paper takes place. This competition is organized and honoured by the CSOR. All papers submitted were peer-reviewed and the papers with positive referee reports were further evaluated by the Programme Committee. Eight best selected papers were presented at the conference in two special sessions and, finally, the evaluation committee decided about the winners. The best six papers have been awarded at conference dinner it the hall of Faculty of Management. The winner of the competition was Tomáš Rusý (Charles University, Prague, Czech Republic) with the paper Optimal Loan Performance Management via Stochastic Programming. The second place got Petra Tomanová (University of Economics, Prague, Czech Republic) with her paper A semiparametric Approach to Modelling Time-Varying Quantiles.