Probability & Statistics

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008...

Help students learn about collecting data, constructing graphs, and analyzing statistics with differentiated informational texts designed to suppor...

This monograph is a concise introduction to the stochastic calculus of variations (also known as Malliavin calculus) for processes with jumps. It i...

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators i...

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for c...

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistic...

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties co...

The second edition of Reverse Engineering of Algebraic Inequalities is a comprehensively updated new edition demonstrating the exploration of new p...

Now in its second edition, this book introduces an approach to active system control. This approach, when applied through design and development im...

This book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to...

In Create and Export Tables Using Stata, Michael Mitchell teaches you how to expertly craft custom, publication-quality tables of summary statistic...

Since its introduction by Hans Reichenbach, many philosophers have claimed to refute the idea known as the common cause principle that any surpri...

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large stat...

Fractional calculus is a rapidly growing field of research, at the interface between probability, differential equations, and mathematical physics....

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistic...

An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling br...

Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentat...

In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult ...

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computatio...

Learn how to calculate your chances with easy-to-understand explanations of probability Probabilitythe likelihood or chance of an event occurringis...

This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It...

This textbook introduces readers to the principles of business process and supply chain simulation modeling using the AnyLogic multimethod simulati...

This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology...