Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysi
This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA
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 se
This is the second edition of a practical book on exploratory multivariate analysis. It takes an example-driven approach, with lots of detailed examples using real data, all coded in R, with implement
This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It covers a diverse range of topics from the field, including d
This book describes the various methods used for exploratory data analysis with an emphasis on MATLAB implementation. It covers approaches for visualizing data, data tours and animations, clustering (
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
This new edition of a bestseller continues the tone of the previous two, covering some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on
This volume presents an overview of the state of the art in data visualization, encompassing correspondence analysis, nonlinear principal component analysis, cluster analysis, multidimensional scaling
Reviewing the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms, this comprehensive textbook emphasizes recurring themes in all sta
