Along with many practical applications, this book presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The R code is available for download on the book’s website. The text also applies Bayesian model averaging to many problems and compares the different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors, the Bayesian predictive information criterion, and the deviance information criterion.
• Statistics: A Series of Textbooks and Monographs
Statistical Theory & Methods
Reference

Exploring how to extract knowledge structures from evolving and time-changing data, this book presents a coherent overview of state-of-the-art research in learning from data streams. It covers the fundamentals that are imperative to understanding data streams and describes important applications, such as TCP/IP traffic, GPS data, sensor networks, and customer click streams. It also explores advanced areas, such as ubiquitous data stream mining; addresses several challenges of data mining in the future, when stream mining will be at the core of many applications; and includes pseudo-code of more than 30 streaming-like algorithms.
• Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Algorithms & Complexity
Data Preparation & Mining
Machine Learning
Reference

A culmination of the authors’ years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in relational data clustering. It presents a novel theoretical framework as well as the most state-of-the-art models for relational data clustering. The authors also describe a family of new algorithms for various relational clustering problems arising in a wide range of important applications. Concepts and theory are explained through detailed application examples and the book includes a comprehensive reference list of related literature.
• Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Data Preparation & Mining
Statistics & Computing
Machine Learning
Reference
Professional

This text covers the major areas of modern time series models and theory, including time and spectral domain and univariate and multivariate time series methods. It also discusses recent techniques for modeling time series data, such as dynamic graphical models, SMC methods, and nonlinear/non-Gaussian dynamic models. Emphasizing model-based, computationally intensive analysis of structured time series, the authors present analyses of real time series data in numerous examples and case studies to illustrate the flexibility and practical impact of the models and methods. Many of the data sets, R and MATLAB ® code, and other material are available on the authors’ websites.
• Chapman & Hall/CRC Texts in Statistical Science
Statistical Theory & Methods
Statistics
Statistics & Computing
Textbook
Professional

Emphasizing applications and practical computing aspects, this book presents an up-to-date review of Bayesian hierarchical methods. It provides a complete treatment of the main modeling settings, including meta-analysis, time series, nonlinear regression, and multilevel, multivariate, panel, spatial, and survival data. The text includes realistic worked examples from the social and health sciences, mainly employing the WinBUGS package but also incorporating BayesX code. The author also illustrates MCMC sampling from first principles using R. A set of programs linked to the worked examples is available on www.crcpress.com
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Statistical Theory & Methods
Statistics & Computing
Statistics for the Biological Sciences
Reference
Professional

This text presents innovative agile methods and guides readers through the software development process. By describing practical stories, explaining the design and programming process in detail, and using projects as a learning context, the author helps readers understand why a given technique is required and why techniques must be combined to overcome the challenges facing software developers. He discusses the benefits and liabilities of each approach, provides a collection of design patterns, and includes projects that represent real-world tasks. The book also contains review questions, exercises, and selected solutions. Source code and other resources are available on the author’s website.
• Chapman & Hall/CRC Textbooks in Computing
Software Engineering & Systems Development
Programming & Programming Languages
Algorithms & Complexity
Textbook
Undergraduate

This textbook covers both classical ideas in experimental design and the latest research topics. It clearly discusses the objectives of a research project that lead to an appropriate design choice, the practical aspects of creating a design and performing experiments, and the interpretation of the results of computer data analysis. Using SAS 9.2 to illustrate the construction of experimental designs and analysis of data, the author presents many applications from the pharmaceutical, agricultural, industrial chemicals, and machinery industries. SAS code and ancillaries are available on the author’s website.
• Chapman & Hall/CRC Texts in Statistical Science
Statistical Theory & Methods
Mathematics & Statistics for Engineers
Statistics for the Biological Sciences
Textbook
Professional

Providing a broad toolkit of analytical methods, this book shows how asymptotics, when coupled with numerical methods, becomes a powerful way to acquire a deeper understanding of the techniques used in probability and statistics. It describes core ideas in statistical asymptotics; covers Laplace approximation, the saddle-point method, and summation of series; and includes vignettes of various people from statistics and mathematics whose ideas have been instrumental in the development of the subject. The author also supplements some topics with relevant Maple™ commands and provides a list of common series and products, enabling readers to expand an expression or simplify an expansion.
• Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Statistical Theory & Methods
Statistics
Computational Numerical Analysis
Reference
Professional

A groundbreaking work, this collection provides contributions from leading researchers who bridge the gap between context-awareness and web services. The chapters are organized into three major sections. Methods focuses on the principle of context awareness in web services and various ways to model those services at the specification level. Architectures details the infrastructures, frameworks, and standards needed to build context-aware services. Technologies presents techniques adapted from once isolated research areas including semantic Web, database, and artificial intelligence development, as well as formal methods being employed to improve development of context-aware web services.
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Computation
Internet & Multimedia
Human Computer Interaction
Reference

The nano revolution has made available powerful new tools for studying biological phenomena, allowing a deeper look into biological problems. This book provides a complete overview of new developments in optical microscopy that enables structure determination at the nanoscale. The list of contributors represents top experts in their respective fields who have led the current upsurge or have laid the foundation for the development of modern microscopes and techniques. They offer a state-of-the-art treatment of critical topics in nanoscopy, ranging from imaging and manipulation to spectroscopy and visualization. The editor takes a truly interdisciplinary approach, combining the science and tools of biologists, physicists, and engineers.
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Optoelectronics
Optics & optoelectronics
Microscopy
Reference
Professional