Valeria is co-organizing and giving lectures in the first edition of the Summer School in Advanced Statistical Learning for Preference, Ranking, and Ordinal Data (PREFSTAT2024). This new summer school is designed to provide a comprehensive overview of preference statistics, a rapidly growing field that has gained significant attention in recent years.
The summer school will cover a range of topics, including preference modeling, ranking, and ordinal data analysis. The course will be taught by leading experts in the field, and will include lectures, hands-on exercises, and group discussions. Target group includes PhD students and postdocs in the area of data science, machine learning, statistics, and related fields. Master students with basic skills in machine learning and statistics are also welcome.