Dear all, we are glad to announce the following hybrid seminar

*February 27, 2024,  12:15 PM*

*Where*: Sala Riunioni B - edificio Zeta (Campus Scientifico), Via Torino, 155 Mestre (Venice, Italy)

Zoom:https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09

*Speaker*: Federico Ferraccioli, Università degli Studi di Padova

*Title*: Detecting stable modes using stochastic gradients

*Abstract:*

In the framework of density based clustering, modes represent a crucial concept as they identify high-density regions that can be associated to different groups of observations. The possibility to conduct inference on the resulting clusters remains nonetheless an intriguing yet quite intricate problem. To tackle this challenge, we propose a procedure that leverages on the connection between mean-shift clustering and stochastic gradient methods. This enables the definition of a sampling procedure, which can be used to construct confidence regions for the modes of a density. We investigate the asymptotic properties of the proposed method and evaluate its performances across different scenarios.

Best regards,

Carlo Gaetan