Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic...

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in va...

The programming language Fortran dates back to 1957 when a team of IBM engineers released the fir...

Combinatorics and Number Theory of Counting Sequences is an introduction to the theory of finite ...

The composition of portfolios is one of the most fundamental and important methods in financial e...

Multigrid methods are among the most efficient iterative methods for the solution of linear syste...

Data Analysis with Competing Risks and Intermediate States explains when and how to use models an...

Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing c...

Differential Geometry of Manifolds, Second Edition presents the extension of differential geometr...

Up-to-Date Coverage of the Navier-Stokes Equation from an Expert in Harmonic AnalysisThe complete...

Of the two primary approaches to the classic source separation problem, only one does not impose ...

This book provides a comprehensive overview of music data analysis, from introductory material to...

Expounding on the results of the author's work with the US Army Research Office, DARPA, the Offic...

GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences am...

Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mecha...

Trying to read up on statistics can be like trying to decide where you want to start eating the ...

Algorithms and Theory of Computation Handbook, Second Edition: General Concepts and Techniques pr...

The general theories contained in the text will give rise to new ideas and methods for the natura...

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that d...

The book gives an up-to-date account of various approaches availablefor the analysis of infectiou...

Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics...

In the constant battle between human intelligence and machine intelligence, machines are close to...

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and app...

This book is especially relevant to undergraduates, postgraduates and researchers studying quanti...

This new book from one of the most published authors in all of mathematics is an attempt to offer...

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interes...

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edit...

High Performance Computing: Programming and Applications presents techniques that address new per...

The number of innovative applications of randomization tests in various fields and recent develop...

Internet of Things: Challenges, Advances, and Applications provides a comprehensive introduction ...

Artificial Intelligence and Causal Inference address the recent development of  relationships bet...

The Routledge Handbook of Smuggling offers a comprehensive survey of interdisciplinary research r...

Bayesian adaptive designs provide a critical approach to improve the efficiency and success of dr...

A conceptually clear induction to fundamental analysis theorems, a tutorial for creative approach...

It is beyond trite to say that technology is prevalent in our daily lives. However, many of us re...

It is beyond trite to say that technology is prevalent in our daily lives. However, many of us re...

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resour...

The subjects described in this book are BCC-algebras and an even wider class of weak BCC-algebras...

The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve th...

The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (C...

Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate cours...

Formal methods is a field of computer science that emphasizes the use of rigorous mathematical te...

Since the publication of the first edition of this book, the area of mathematical finance has gro...

Abstract Algebra: A Gentle Introduction advantages a trend in mathematics textbook publishing tow...

Modeling Fixed Income Securities and Interest Rate Options, Third Edition presents the basics of...

Winner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Resear...

Principles of Analysis: Measure, Integration, Functional Analysis, and Applications prepares read...

A properly structured financial model can provide decision makers with a powerful planning tool t...