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The 14th International Conference on Applied Statistics is jointly organized by the Department of Statistics and Econometrics from the Bucharest University of Economic Studies, by the Romanian Society of Statistics and by the Applied Statistics and Econometrics Group.

The following Key Note Speakers will open the ICAS 2020. For further details, please check the webpage of the event. The main goal of the 14th 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. A one-day program consists of invited paper presentations, contributed paper sections on various topics and ends with a workshop for the young members of the Romanian Statistical Society.

All accepted papers will be published in the Proceedings of the Conference which will be sent to be indexed by Clarivate Analytics (former ISI) 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 are comprised in the invitation (Download Call for Papers Here).

Juan Manuel Rodríguez Poo
President of the Spanish National Institute of Statistics
Professor at the University of Cantabria.

Dumitru Roman
Senior Research Scientist at SINTEF Norway
Associate Professor at University of Oslo

Lucian Visinescu
Associate Professor at Texas State University

For all sections, papers falling under one of the following topics are welcomed:
Actuarial and Financial Statistics and Applications, Applied Statistics in Social Science, Biostatistics and Bioinformatics, Data Collection and Applications, Data Mining, Data Science, Data Science and Artificial Intelligence, Data Science and Blockchain Technology, Data Science and Fintech, Demography, Design of Experiments, Econometrics (Macro and Micro Econometrics), Mathematical Statistics, Measurement, Network Analysis, Sampling Techniques and Applications, Spatial Statistics and Econometrics, Statistical Analysis of Internal and International Migration, Statistical Applications in International Comparisons, Statistical Modelling and Simulation, Official Statistics, Statistical Software (R, SAS, Python), Statistics in Education, Other Areas of Applied Statistics and Applied Quantitative Analysis, Quantitative approaches in entrepreneurship and innovation, Business statistics, Business analytics, etc.

For all sections papers covering OTHER topics that might be relevant for the section are also welcomed.