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This lecture by Philippe Jacquet from INRIA Saclay explores fitting indicators with quantitative estimates for logistic regression, presented at the International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2025). Delivered on May 6, 2025, at the Fields Institute, the 33-minute talk delves into advanced statistical methods for improving logistic regression models through quantitative estimation techniques. Learn about cutting-edge approaches to regression analysis that combine probabilistic and combinatorial methods to enhance predictive accuracy and model fitting.
