9th International Conference on Econometrics and Statistics (EcoSta 2026)

The 9th International Conference on Econometrics and Statistics (EcoSta 2026) showcases cutting-edge research and innovative methodologies in econometrics and statistics, fostering advancements in theory and applications across diverse fields.

Key Topics

• Advances in neuroimaging statistics
• Dimensionality reduction in data analysis
• High-dimensional and functional data analysis
• Copula models in econometrics
• Bayesian methods and computational innovations
• Statistical modeling of complex networks
• Quantitative risk management and portfolio allocation
• Statistical inference for complex data
• Extreme value theory and diffusion models
• Econometric modeling with time series
• Semiparametric methods in the era of AI
• Statistical learning and algorithmic developments
• Innovative approaches in biomedical data analysis
• Numerical methods and resampling techniques
• Applications in climatology, medicine, and communication

Who should Attend

• Academics and researchers in econometrics and statistics
• Data scientists and machine learning professionals
• Financial analysts and quantitative modelers
• Experts in biomedical and environmental data analysis
• Statisticians focusing on complex network modeling
• Graduate students exploring advanced methodologies
• Professionals interested in statistical learning and AI applications
• Policy analysts utilizing statistical insights for decision-making