International Day Of Women in Statistics and Data Science: Full Schedule

Registration opens August 15th at www.idwsds.org.

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18:00 UTC

S312 - New advances on Functional data model-based clustering

Tuesday October 6, 2026 18:00 - 18:30 UTC

Functional data analysis has attracted considerable attention in recent years, and its applications appear in physical processes, genetics, biology, meteorology, and signal processing. Many modern applications produce data best viewed as functions rather than finite-dimensional vectors because of their nature. Beyond the challenges of collecting and preprocessing such data, efficiently handling large volumes of functional observations has become an urgent concern. On one hand, functional data takes values in an infinite-dimensional space, which is challenging to handle with classical methods. On the other hand, ignoring the functionality aspect of data will lead to information loss. In this talk, we highlight model-based clustering methods, a powerful tool in machine learning for identifying subgroup-specific patterns. Specifically, we introduce new model-based clustering techniques for functional data, regardless of the Gaussian assumption. The performance of each algorithm is evaluated through simulations and real-world datasets, and the results confirm their efficiency.

Speakers

Mina Aminghafari

Associate Professor, University of Calgary

Dr. Mina Aminghafari is an Associate Professor in the Department of Mathematics and Statistics at the University of Calgary. Her research lies at the intersection of high-dimensional statistics, machine learning, and applied data science, particularly on clustering theory and statistical... Read More →

Organizers

Mina Aminghafari

Associate Professor, University of Calgary

Tuesday October 6, 2026 18:00 - 18:30 UTC
Zoom Room #3

Plenary Talk, Technical Statistical Session

Country Canada
Session ID 311

International Day Of Women in Statistics and Data Science

18:00 UTC

Mina Aminghafari

Mina Aminghafari

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