Larry A. Wasserman est un statisticien et professeur canadien. Son travail se concentre sur la statistique et l'apprentissage automatique. Les écrits de Wasserman explorent souvent les fondements théoriques et les innovations méthodologiques dans ces domaines. Ses contributions à la discipline sont reconnues tant par les universitaires que par les praticiens.
"All of Statistics" offers a comprehensive overview of probability and statistics, ideal for graduate and advanced undergraduate students in related fields. It covers modern topics like non-parametric curve estimation and bootstrapping, requiring knowledge of calculus and basic linear algebra but no prior statistics experience.
Focusing on nonparametric inference, this text offers clear accounts of various contemporary issues in the field. It blends methodology with theoretical insights, making complex concepts accessible. Readers will find a comprehensive resource that effectively balances practical applications with foundational principles, catering to both practitioners and researchers in statistics.