Larry A. Wasserman je kanadský štatistik a profesor. Jeho práca sa zameriava na štatistiku a strojové učenie. Wassermanove spisy často skúmajú teoretické základy a metodologické inovácie v týchto oblastiach. Jeho prínos k odboru oceňujú akademici aj praktici.
"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.