Statistiques

Alexis BAYLET d35d4c964b Add initial chapters on statistical estimation and regression ... - Introduced Chapter 0: Introduction to Statistical Estimation with foundational concepts and methods. - Added Chapter 1: Non-Parametric Density Estimation covering kernel methods and performance analysis. - Included Chapter 2: Theory of Regression focusing on non-parametric methods and regularization techniques. - Implemented Chapter 3: Neural Networks as Approximators discussing the limitations of linear approximation methods. - Added corresponding PDF files for each chapter.		2026-03-21 23:45:07 +01:00
.gitignore	first commit	2026-03-21 23:35:45 +01:00
ch0.pdf	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00
ch0.tex	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00
ch1.pdf	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00
ch1.tex	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00
ch2.pdf	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00
ch2.tex	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00
ch3.pdf	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00
ch3.tex	Add initial chapters on statistical estimation and regression	2026-03-21 23:45:07 +01:00