Probability & Statistics

Unlike the first edition, the new edition has been split into two books.Thoroughly revised and updated, this is the first book of the second editio...

The statistical analysis of extremes is becoming more and more prevalent as we observe increasing levels of variability and turbulence, both in the...

Volume I includes the introductory material, the papers on limit theorems and review articles. Volume II features Varadhan's papers on PDE, SDE, di...

Exam board: Cambridge Assessment International EducationLevel: A LevelSubject: MathematicsFirst teaching: September 2018First exams: Summer 2020Rei...

Support achievement in the latest syllabus (9709), for examination from 2020, with a stretching, practice-driven approach that builds the advanced ...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense...

Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. Duri...

This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art...

This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex...

This book presents a unique collection of contributions on modern methods and applications in three key areas of statistics, celebrating the signif...

This open access book is the 2nd edition involving the update on data, methods and models of Grey Systems. It covers up-to-date theoretical and app...

This book is an essential guide for product managers seeking to harness the power of data to drive their product decisions. It is a detailed resour...

This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: de...

Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes...

This research monograph explores new frontiers in Markov chains. Although time-homogeneous Markov chains are well understood, this is not at all th...

Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to...

This book is about the interplay between chance and order, but limited to mostly binary events, such as success/failure as they occur in a diversit...

Every finance professional wants and needs a competitive edge. A firm foundation in advanced mathematics can translate into dramatic advantages to ...

Every finance professional wants and needs a competitive edge. A firm foundation in advanced mathematics can translate into dramatic advantages to ...

This book integrates the fundamentals of asymmetric multidimensional scaling, spectral graph theory, graph embedding theory, and various dynamical ...

This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scienti...

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it con...

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learni...

This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to stu...

This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochasti...

This book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete choice experiment (DCE). The b...

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, in...

The second edition of this successful and widely recognized textbook again focuses on discrete topics. The author recognizes two distinct paths of ...

This textbook provides the foundation for a course that takes PhD students in empirical accounting research from the very basics of statistics, dat...

Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are large...

Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are large...

This book addresses a wide range of recent methodological aspects, applications and best practices of statistics production. It comprises a selecti...

This 5th edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with a...