English

Statistical Inference

Applications 2016-03-17 v1 History and Overview Methodology

Abstract

What is Statistics? Opinions vary. In fact, there is a continuous spectrum of attitudes toward statistics ranging from pure theoreticians, proving asymptotic efficiency and searching for most powerful tests, to wild practitioners, blindly reporting p-values and claiming statistical significance for scientifically insignificant results. In these notes statistics is viewed as a branch of mathematical engineering, that studies ways of extracting reliable information from limited data for learning, prediction, and decision making in the presence of uncertainty. These ACM lecture notes are based on the courses the author taught at the University of Southern California in 2012 and 2013, and at the California Institute of Technology in 2016.

Keywords

Cite

@article{arxiv.1603.04929,
  title  = {Statistical Inference},
  author = {Konstantin Zuev},
  journal= {arXiv preprint arXiv:1603.04929},
  year   = {2016}
}

Comments

ACM Lecture Notes, 145 pages, 79 figures

R2 v1 2026-06-22T13:11:55.564Z