Probability Theory I

Charles M. (Chuck) Newman has been a leader in Probability Theory and Statistical Physics for nearly half a century. This three-volume set is a celebration of the far-reaching scientific impact of his work. It consists of articles by Chuck’s collaborators and colleagues across a number of the fields to which he has made contributions of fundamental significance. This publication was conceived during a conference in 2016 at NYU Shanghai that coincided with Chuck`s 70th birthday.

Learn the fundamental concepts on probability which is useful in the areas of machine,deep learning applications

A new feature of this edition consists of photogra phs of eight masters in the contemporary development of probability theory. All of them appear in the body of the book, though the few references there merely serve to give a glimpse of their manifold contributions. It is hoped that these vivid pictures will inspire in the reader a feeling that our science is a live endeavor created and pursued by real personalities.

This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.

This text contains ample material for a one term precalculus introduction to probability theory. lt can be used by itself as an elementary introduc­ tion to probability, or as the probability half of a one-year probability­ statistics course. Although the development of the subject is rigorous, experimental motivation is maintained throughout the text.

In the past half-century the theory of probability has grown from a minor isolated theme into a broad and intensive discipline interacting with many other branches of mathematics. At the same time it is playing a centrat role in the mathematization of various applied sciences such as statistics, Opera­ tions research, biology, economics and psychology-to name a few to which the prefix "mathematical" has so far been firmly attached.