Alan J. Izenman is Professor of Statistics and Senior Research Fellow in the Department of Statistics. He received his B.Sc.(Econ.) degree in 1967 from the London School of Economics and his Ph.D. in Statistics in 1972 from the University of California, Berkeley.
He has held faculty positions at Tel-Aviv University and 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.
His research interests are primarily in multivariate analysis, time series analysis, nonparametric curve estimation, data mining, machine learning, and bioinformatics, and the application of statistical methods to law and public policy.
- Multivariate Analysis
- Time Series
- Nonparametric Curve Estimation
- Applied Statistics
- Statistics in the Law and Public Policy
Statistics in the News
Izenman, A.J. (2021). Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models. Journal of the American Statistical Association, 116(536), 2065-2086. Informa UK Limited. doi: 10.1080/01621459.2021.1898410.
Izenman, A. (2021). Random Matrix Theory and Its Applications. Statistical Science, 36(3), 421-442. doi: 10.1214/20-STS799.
Izenman, A.J. (2020). Comparing Handwriting in Questioned Documents. In Array, Handbook of Forensic Statistics. CRC Press.