Probability & Statistics

In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical c...

Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated the...

The hugely influential book on how the understanding of causality revolutionized science and the world, by the pioneer of artificial intelligence'W...

The book contains a detailed treatment of thermodynamic formalism on general compact metrizable spaces. Topological pressure, topological entropy, ...

This textbook offers a complete one-semester course in probability, covering the essential topics necessary for further study in the areas of proba...

This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book co...

The areas of Ramsey theory and random graphs have been closely linked ever since Erdos's famous proof in 1947 that the ``diagonal'' Ramsey numbers ...

The authors define a class of random measures, spatially independent martingales, which we view as a natural generalization of the canonical random...

Teaching Statistics Using Baseball is a collection of case studies and exercises applying statistical and probabilistic thinking to the game of bas...

This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. Volume I serves as an introductio...

This book provides the first systematic treatment of model risk, outlining the tools needed to quantify model uncertainty, to study its effects, an...

Exam board: Cambridge Assessment International EducationLevel: A-levelSubject: MathematicsFirst teaching: September 2018First exams: Summer 2020End...

Stata Tips provides concise and insightful notes about commands, features, and tricks that will help you obtain a deeper understanding of Stata.The...

Encompassing both introductory and more advanced research material, these notes deal with the author's contributions to stochastic processes and fo...

Like a lot of people, Miu has had trouble learning regression analysis. But with new motivation in the form of a handsome but shy customer and the ...

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted t...

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathe...

The worlds of Wall Street and The City have always held a certain allure, but in recent years have left an indelible mark on the wider public consc...

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tracta...

Introduction to Statistics is a comprehensive textbook that provides a foundational understanding of statistics. It covers topics such as data coll...

This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computationa...