Due to the uncertainty caused by the current situation with the COVID-19 outbreak, EcoSta 2020 cannot be held as planned this year. In order to cope with this, we will proceed as follows:
- EcoSta 2021 will take place at Yonsei University 24-26 June 2021. All the current sessions of EcoSta 2020, submissions and registrations will automatically be passed to EcoSta 2021 unless you inform us you prefer Option 2 or you need to cancel. The new website will be ready in the coming days.
- A new version of EcoSta 2020 will be moved to 26-28 August 2020. EcoSta 2020 will be held partially online and partially onsite in Limassol, Cyprus. Participants will have full flexibility to choose the attendance form they wish and cancel their registration if the coronavirus crisis pursues until the end of July. EcoSta 2020 online will have a reduced fee that will include the participation in the tutorial, keynote talks, parallel sessions and online material. The updated website with the details will be set up in the coming days.
We apologize for any inconvenience cause and we hope of your understanding.
The new version of 4th International Conference on Econometrics and Statistics (EcoSta 2020) will take place partially online and partially in Limassol, Cyprus, 26-28 August 2020.
The 3rd International Conference on Econometrics and Statistics, EcoSta 2019, has taken place at the National Chung Hsing University (NCHU), Taiwan, 25-27 June 2019, and gathered about 660 participants.
The journal Econometrics and Statistics (EcoSta) and its supplement, the Annals of Computational and Financial Econometrics, and the Computational Statistics & Data Analysis are the main sponsors of the conference. Selected peer-review papers will be considered for publication in a special peer-reviewed, or regular, issues of the Journals Econometrics and Statistics, and Computational Statistics & Data Analysis.
This conference invites oral and poster presentations containing substantial advances in the broad areas of econometrics and/or statistics. All topics within the scope of the journal Econometrics and Statistics will be considered. Topics of interest include, but not limited to:
Part A. Econometrics: estimation of econometric models and associated inference, model selection, panel data, measurement error, time series analyses, filtering, portfolio allocation, option pricing, quantitative risk management, systemic risk and market microstructure, forecasting, volatility and risk, credit risk, pricing models, portfolio management and emerging markets.
Part B. Statistics: high-dimensional problems, functional data analysis, robust statistics, resampling, dependence, extreme value theory, spatial statistics, Bayesian methods, statistical learning, nonparametric statistics, multivariate data analysis, parametric & semi parametric models, numerical methods in statistics, and substantial statistical applications in other areas such as medicine, epidemiology, biology, psychology, climatology and communication. Innovative algorithmic developments are welcome, as are the computer programs and the computational environments that implement them as a complement.