The 16th International Conference on Applied Statistics is jointly organized by the Department of Statistics and Econometrics from the Bucharest University of Economic Studies, the National Institute for Statistics and the Applied Statistics and Econometrics Group.
The main goal of the 16th International Conference on Applied Statistics is to provide an opportunity for academics, researchers, Ph.D. students and professional from the business environment to meet and to present their research results on topics related to quantitative analysis and applied statistics.
The main goal of the 16th International Conference on Applied Statistics is to provide an opportunity for academics, researchers, PhD students and professionals from the business environment to meet and to present their research results on topics related to quantitative analysis and applied statistics. A two-day program consists of invited paper presentations, contributed paper sections on various topics and ends with a workshop on statistical education.
We proudly announce the following ICAS 2023 Key-Note Speakers.
The official language of the conference is English and there will be ensured facilities for hybrid attendance.
The accepted papers may be published in the Journal of Social and Economic Statistics under SCIENDO De Gruyter.
The official language of the conference is English.
The conference aims to bring together academics as well as practitioners to discuss topical issues and disseminate high quality research in economic and social statistics.
Details regarding the conditions of participation and fields of interest will be published soon.
For all sections, papers falling under one of the following topics are welcomed:
Algorithms and applications for statistical purposes; Census and innovative data collection methods; Challenges and limits of energy sector in the context of prolonged overlapping crisis; Data mining and artificial intelligence; Demography, Migration and Applied Statistics in Social Science; Econo-physics and complex systems; Entrepreneurship & Innovation in the new economy – quantitative approaches; Human capital, economic development and inequalities; Quantitative analysis in the business environment, audit and evaluation; Regional economics and applied spatial data analysis; Statistical modelling of financial digital assets
For all sections papers covering OTHER topics that might be relevant for the section are also welcomed.