Event Category: Instituto de Matemáticas UGR
Jorge Hidalgo Calderón
Tjaša Vrhovnik
Diego Alfonso Marín Muñoz
Inmaculada Benítez Berral
Juan Antonio Villegas Recio
Helena del Río Fernández
Esteban Martínez Vañó
Javier Hervás Aniorte
Marcos Paulo Tassi
Dong-Hwi Seo
Post-doc researcher of the project EUR2024-153556 whose IP is Antonio Ros.Continue Reading
Defensa de Tesis Doctoral de Jorge Luis Rueda Sánchez
Título Statistical Techniques for the Integration of Probability and Non-Probability Survey Data Directoras Dra. María del Mar Rueda García y Dra. Beatriz Cobo Rodríguez Departamento Estadística e Investigación Operativa Tribunal Presidente: Dr. Juan Francisco Muñoz Rosas (Universidad de Granada) Secretario: Dr. Ramón Gutiérrez Sánchez (Universidad de Granada) Vocal: Dra. IsabelContinue Reading
Multiple Frame Surveys: A Resilient Framework for Digital-Era Challenges
The seminar will review and critically discuss the development of Multiple Frame (MF) surveys over more than six decades, from their first appearance in the sampling literature of the 1960s–1970s to the re-assessment of their role in today’s fast-evolving landscape of digital data sources and emerging data needs. An MFContinue Reading
Long–Time and Chaotic Dynamics in Microscopic Systems with Singular Interactions
Abstract: In this talk we investigate the long time dynamics of interacting particle systems subject to singular interactions. We consider a microscopic system of N interacting point particles, where the time evolution of the joint distribution fN(t) is governed by the Liouville equation. Our primary objective is to analyze theContinue Reading
Mitigating Bias in Tree-Based Models: A Fairness Perspective
This talk presents the Fairness Uncertainty-Aware Classification Tree (FUNACT), a novel in-processing framework that extends the classical CART algorithm to jointly optimize predictive accuracy and algorithmic fairness. The proposed approach explicitly accounts for the statistical uncertainty associated with fairness estimation by constructing confidence intervals for group fairness metrics, such asContinue Reading

