Bayesian Regression Modeling with INLA
Chain Event Graphs
Exploratory Data Analysis with MATLAB
Introduction to Data Technologies
Brigitte Le Roux, Solène Bienaise, Jean-Luc Durand
March 30, 2019
This book covers methods for statistical inference in geometric data analysis based on a combinatorial framework. These methods enable the researcher to answer certain questions that cannot be answered by statistical models due to the underlying assumptions. It presents all the methodology,...
Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway
February 16, 2018
INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (...
Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith
January 30, 2018
Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of...
September 07, 2017
"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…a very useful text and I would certainly use it in...
Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka
July 27, 2017
Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. … accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."—Adolfo Alvarez Pinto, International Statistical Review "...
Karl Fraser, Zidong Wang, Xiaohui Liu
June 14, 2017
To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to...
May 31, 2017
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on...
Francois Husson, Sebastien Le, Jérôme Pagès
April 25, 2017
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when...
Claus Weihs, Dietmar Jannach, Igor Vatolkin, Guenter Rudolph
November 07, 2016
This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects...
Wendy L. Martinez, Angel R. Martinez
December 22, 2015
A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB®, Third Edition covers today’s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps...
MoonJung Cho, Wendy L. Martinez
December 15, 2014
Fulfilling the need for a practical user’s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB® and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of...
Jorg Blasius, Michael Greenacre
April 10, 2014
Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their...