Alan J. Izenman, Ph.D.

Senior Research Professor of Statistics
Department of Statistics

345 Speakman Hall (006-00)
1810 North 13th Street
Philadelphia, PA 19122
Phone: (215) 204-8166
Fax: (215) 204-1501
E-mail: alan@temple.edu

Alan J. Izenman is Professor of Statistics, Department of Statistics, and Director of the Center for Statistical and Information Science (CSIS) located in the Office of the Vice-President for Research, Temple University, Philadelphia. He was born in London, England, and received his B.Sc.(Econ.) from the London School of Economics in 1967. He received his Ph.D. in Statistics from the University of California, Berkeley in 1972.

He has held faculty positions at Tel-Aviv University and at Colorado State University, and visiting positions at the University of Chicago, the University of Minnesota, Stanford University, and the University of Edinburgh. During 1992-1994, he was Director of the Statistics and Probability Program at the National Science Foundation. He is a Fellow of the American Statistical Association and the Royal Statistical Society. He has been an Associate Editor of the Journal of the American Statistical Association. He is currently on the Editorial Board of the journal Law, Probability and Risk and is Associate Editor of the journal Statistical Analysis and Data Mining.

His research interests center around a number of different topics in theoretical and applied statistics. He has worked in the area of multivariate analysis, contributing to the introduction and development of reduced-rank regression models for analyzing multivariate data, and introducing a class of multivariate linear spectral models for analyses for the study of longitudinal data. He has just published an innovative book entitled Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer, 2008) that treats the new fields of statistical machine learning and data mining as integral parts of multivariate analysis.

He has also worked on problems involving univariate and multiple time series analysis in both the time and frequency domains. This includes a well-known study on the NYC blackout in 1965 and the resulting effect on the city's birthrate. Another of his research interests has been in the general area of nonparametric function estimation, including nonparametric density estimation, mixtures of distributions, and the estimation of survival curves, including a well-known study of postage stamp paper-thickness data. Recently, his research centers on statistical learning, data mining, and bioinformatics, and, in general, on the analysis of large data sets .

Much of his work involves cross-disciplinary research. Examples of such research include the use of Bayesian inference for the statistical quality control of federal welfare programs, and combining information from large incomplete surveys in estimating the extent of masonry deterioration in a large complex of public housing buildings in the Bronx, NY. Other applied research has involved determining the invariance properties and structure of Arnold Schoenberg's tone-row system of music composition, and a study of the origins of the Zurich sunspot numbers. Research on crime mapping of juvenile delinquency and recidivism in Philadelphia is currently funded by the National Institute of Justice.

His research on the interaction of statistics and the law has focused on the problem of how various sampling methodologies affect the practical application of the Federal Sentencing Guidelines in criminal cases. This includes estimating the quantity of illicit drugs found in the possession of a defendant convicted for drug trafficking cases, estimating the extent of financial fraud in copyright cases, and estimating the financial penalties in Internet pornography cases. Another research project studied how information included in case dockets in federal civil cases can be used to determine why judges write opinions rather than just issue orders.

He has been a consultant to numerous companies, government agencies, city police departments, and law firms. He has testified on statistical issues in state courts, where he has appeared for either the plaintiffs or the defendants depending upon the case. He has also testified on statistical issues in state legislative council hearings.