
Bayesian Inference - Liero, Hannelore (University of Potsdam, Germany); Zwanzig,…
\nThis book provides a comprehensive coverage of the fundamentals of Bayesian inference from all important perspectives,…
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\nThis book provides a comprehensive coverage of the fundamentals of Bayesian inference from all important perspectives,…
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Intended for students who have completed the standard first courses in calculus and linear algebra, this edition provides an…
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Previous editions cataloged under main entry for Brian S. Everitt.…
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The aim of this textbook, beyond being a useful aid to teaching and learning the core modeling skills needed for…
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Includes chapters on statements and proof, logical framework, and natural numbers and the integers. This edition also…
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This title is the essential reference for integrals in the English language. Mathematicians, scientists, and engineers rely…
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This is a text on games and how to play them intelligently. In Volume 1, the authors do the spade work, presenting theories…
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This book is a concise introduction to the key mathematical ideas that underpin computer science, continually stressing the…
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Considered a classic by many, A First Course in Abstract Algebra is an in-depth introduction to abstract algebra. Focused on…
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This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the…
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\nThis text makes a great supplement and provides a systematic approach for teaching undergraduate and graduate students how…
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The development of algebraic geometry over groups, geometric group theory and group-based cryptography, has led to there…
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Unlike most probability textbooks, which are often written only for the mathematically-oriented students, Mark Ward and…
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\nThis textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in…
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The book is an attempt to integrate coding with discrete mathematics in the hopes that each discipline will complement the…
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Beginning with the basic facts of functional analysis, this title looks at Banach spaces, Lp spaces, and distribution…
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Intended for students with a beginning knowledge of mathematical analysis, this first volume, in a three-part introduction…
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Intended for the students interested in the disciplines of mathematics, physics, engineering, and finance, at both the…
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Intended for the students of mathematics, physics, engineering and other sciences, this second volume, in a three-part…
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\nThis introduction to linear algebra by world-renowned mathematician Peter Lax is unique in its emphasis on the analytical…
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This book provides an introduction to the basic concepts in differential topology, differential geometry, and differential…
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\nThis book provides an introduction to real analysis, a fundamental topic that is an essential requirement in the study of…
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This volume consists of contributions spanning a wide spectrum of harmonic analysis and its applications written by speakers…
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\nThis contributed volume convenes a rich selection of works with a focus on innovative mathematical methods with…
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This updated and revised second edition of the accessible, practice-oriented guide gives readers a compact and step-by-step…
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This book illustrates why abstract mathematical entities are needed to represent some aspects of physical reality. It…
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\nProvides an introduction to the fundamentals of enumeration for advanced undergraduates and beginning graduate students in…
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A clear, lively and data-centric introduction to statistics with integrated SPSS (version 22) commands. Features a new…
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\nMechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science,…
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Interpolatory methods are among the most widely used model reduction techniques. This book is the first comprehensive…
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Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2nd edition) presents an updated introduction to…
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\nRepresentation theory plays important roles in geometry, algebra, analysis, and mathematical physics. This book presents…
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\nWhat sets this book apart is the modeling aspects utilizing numerical analysis (methods) to obtain solutions. The authors…
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Emphasizes a vectors approach and prepares students to make the transition from computational to theoretical mathematics.…
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This textbook provides a clear and concise introduction to both theory and application of fluid dynamics. It has a wide…
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Providing a systematic approach and simple introduction ot the finite element method, this self-contained book will enable…
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\nA fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique…
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\nBasics of probability to theory of statistical inference using techniques, definitions, concepts that are statistical,…
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