European Courses in Advanced Statistics
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Causal inference: from foundations to applications

The next ECAS-SFdS course will take place from October 4 to 8, 2027, on the French Riviera and will focus on discovering, identifying, and estimating causal relationships between a treatment (X) and the evolution of an outcome (Y), particularly when relying on observational data prone to selection biases and confounding factors. Building on Judea Pearl’s theory (DAGs and do-calculus) and Donald Rubin’s framework (Potential Outcomes), it introduces the fundamental principles and tools of causal inference, covering methodological, applied, computational, and mathematical aspects.

Edinburgh Summer School on Generative AI for Extremes

Building on the success of GAME 2025 in Edinburgh—the first worldwide workshop on generative AI modelling for extreme events—this summer school is led by GLE²N (Glasgow–Edinburgh Extremes Network) and brings PhD students and early-career researchers to the interface of generative AI and extreme value theory.

ECAS-ENBIS Course: Adaptive Machine Learning for Time Series Forecasting

The next ECAS-ENBIS half-day summer school will take place in Florence (Italy), as a pre-conference course of ENBIS-26. This short course entitled "Adaptive Machine Learning for Time Series Forecasting" will focus on adaptive machine learning tools for time series forecasting.

Multiple Hypothesis Testing – Hanken School of Economics

Multiple Hypothesis Testing – 23–27 May 2026, Hanken School of Economics A 5 ECTS graduate/doctoral course on modern methods for multiple hypothesis testing will take place at the Hanken School of Economics, organized by the Finnish Statistical Society and the Finnish Society of Biostatistics. The course covers familywise error rate control, false discovery rate control, resampling-based methods, and practical software implementations in R. There is no course fee.