New editor for Statistical Analysis and Data Mining


  • Date: 18 July 2012

David Madigan, professor and chair of the Department of Statistics at Columbia University,
has been selected as the new editor for Statistical Analysis and Data Mining.

thumbnail image: New editor for Statistical Analysis and Data Mining

“Dr Madigan is a recognized authority in statistics and data mining, having made very substantial contribution to both theory and methods,” said David Hand, Imperial College, who chaired the search committee. “He has previous editorial service with various journals, and has gained experience in a wide range of areas, commercial and academic. Overall, he has the breadth of understanding and insight to lead the journal in meeting its future challenges, and was an ideal choice for the role.” An ASA (1999) and IMS (2006) Fellow, Dr Madigan’s term as editor will be from 2013-2015, and he follows Editor Joseph Verducci, the Ohio State University. He recently served as editor-in-chief of Statistical Science and as an associate editor for the Journal of Computational and Graphical Statistics.

Statistical Analysis and Data Mining is published on behalf of the ASA. The journal addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex data sets, solutions using innovative data mining algorithms and/or novel statistical approaches, and the objective evaluation of analyses and solutions. Of special interest are articles that describe analytical techniques and discuss their application to real problems in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce.

Related Topics

Related Publications

Related Content

Site Footer


This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.