Chapman & Hall/CRC Monographs on Statistics and Applied Probability
About the Book Series
Since its inception in 1960 under the leadership of Sir David R. Cox, the series has established itself as a leading outlet for monographs presenting advances in statistical and applied probability research. With over 150 books published - over 100 still in print - the series has gained a reputation for outstanding quality.
The scope of the series is wide, incorporating developments in statistical methodology of relevance to a range of application areas. The monographs in the series present succinct and authoritative overviews of methodology, often with an emphasis on application through worked examples and software for their implementation. They are written so as to be accessible to graduate students, researchers and practitioners of statistics, as well as quantitative scientists from the many relevant areas of application.
Please contact us if you have an idea for a book for the series.
Functional Data Analysis with R
1st Edition
By Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, Erjia Cui
March 11, 2024
Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. ...
Bayesian Nonparametrics for Causal Inference and Missing Data
1st Edition
By Michael J. Daniels, Antonio Linero, Jason Roy
August 23, 2023
Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the ...
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests
1st Edition
By Faming Liang, Bochao Jia
August 02, 2023
This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison; unified ...
The Energy of Data and Distance Correlation
1st Edition
By Gábor J. Székely, Maria L. Rizzo
February 14, 2023
Energy distance is a statistical distance between the distributions of random vectors, which characterizes equality of distributions. The name energy derives from Newton's gravitational potential energy, and there is an elegant relation to the notion of potential energy between statistical ...
Analysis of Incomplete Multivariate Data
1st Edition
By J.L. Schafer
January 21, 2023
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in ...
Dependence Modeling with Copulas
1st Edition
By Harry Joe
January 21, 2023
Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine ...
Gaussian Markov Random Fields: Theory and Applications
1st Edition
By Havard Rue, Leonhard Held
January 21, 2023
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the ...
ROC Curves for Continuous Data
1st Edition
By Wojtek J. Krzanowski, David J. Hand
January 21, 2023
Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. ROC Curves for Continuous Data is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear ...
Smoothing Splines: Methods and Applications
1st Edition
By Yuedong Wang
January 21, 2023
A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline ...
Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
3rd Edition
By Peter J. Diggle
January 21, 2023
Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical ...
Statistical Evidence: A Likelihood Paradigm
1st Edition
By Richard Royall
January 21, 2023
Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective ...
Statistical Inference: The Minimum Distance Approach
1st Edition
By Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park
January 21, 2023
In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is ...