Aims and Scope
The interface between the computer and statistical sciences is a rapidly-developing field of research, as each discipline seeks to harness the power and resources of the other. This series aims to capture new developments and summarize what is known over the whole spectrum of computer science and statistics. It seeks to foster the integration of computer science and statistical, numerical and probabilistic methods by publishing a broad range of reference works, textbooks and handbooks.
The scope of the series is wide, including data mining, machine learning, AI, computational stats, exploratory data analysis, pattern recognition, learning theory, statistical software and graphics, graphical models, Bayesian data analysis, and internet data analysis. The titles included in the series are designed to appeal to students, researchers and professionals in computer and information science, statistics, mathematics, and engineering, as well as interdisciplinary researchers across many scientific disciplines. The inclusion of real examples and applications is highly encouraged, as is specific software.
Recently Published Titles
- Bayesian Regression Modeling with INLA
- Chain Event Graphs
- Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics
- Exploratory Data Analysis with MATLAB
- Exploratory Multivariate Analysis by Example Using R, Second Edition
- Music Data Analysis: Foundations and Applications
- Computational Statistics Handbook with MATLAB, Third Edition
- Statistics in MATLAB: A Primer
- Visualization and Verbalization of Data
- Foundations of Statistical Algorithms: With References to R Packages
- Clustering: A Data Recovery Approach, Second Edition
- Statistical Learning and Data Science
- Bayesian Artificial Intelligence, Second Edition
- Exploratory Data Analysis with MATLAB, Second Edition
Departments of Statistics and Computer Science, Columbia University, New York, USA
Department of Statistics, Columbia University, New York, USA
Department of Statistics, University of Washington, Seattle, USA
Goldsmiths University of London and University of Derby, UK
Want to Publish With Us?
If you are interested in proposing a book for the series, please contact one of the series editors or one of our statistics acquisitions editors.