This book is an introduction to the mathematical analysis of probability theory and provides some understanding of how probability is used to model random phenomena of uncertainty, specifically in the ...

In 1900, at the grand amphitheater of the Sorbonne in Paris, David Hilbert stood before a crowd of mathematicians and ...

The course gives an introduction to probability theory in a measure-theoretic setting. Among the topics discussed are: Probability measures, σ-algebras, conditional expectations, convergence of random ...

IN his “Scientific Inference”, Dr. Jeffreys has already adumbrated his approach to the theory of probability. The present book is a more systematic presentation of his views, beginning with ...

There are many close links between group theory, automata theory, and logic. The asymptotic-generic point of view of geometric group theory has recently led to new ideas in computational complexity ...

The contents fall roughly into two parts. In the first part a unified treatment of entropy in information theory, probability theory and mathematical statistics is presented. The second part deals ...

The prestigious award, now in its 100th year, is granted to distinguished artists and scholars and provides support for their ...

Immediately after President Trump's April 2 tariff announcement, bond yields—and mortgage rates—dipped predictably. But then ...

Investigate probability concepts that are useful in applications, particularly to statistics, focusing on the joint behaviour of several random variables. Study examples of groups and homomorphisms, ...