Stephen Fienberg is a Maurice Faulk University Professor in the Department of Statistics. His principal research interests lie in the development of statistical methodology, especially for problems involving categorical variables.
Initially, he worked on the general statistical theory of loglinear models for categorical data, and he applied the theory to various problems that could be represented in the form of multidimensional contingency tables. More recently, he has studied approaches appropriate for disclosure limitation in multidimensional tables and their relationship with results on bounds for table entries given a set of marginals (for selected publications on this topic see Disclosure Limitation Papers, as well as the webpage for the NISS Digital Government Project on this topic), estimating the size of populations (especially in the context of census taking), and Bayesian approaches to the analysis of contingency tables. His research on disclosure limitation for categorical data, and on privacy and confidentiality more generally, has led to the creation of a new online journal, The Journal of Privacy and Confidentiality, which has just begun to accept submissions.
Ph.D. (Statistics) Harvard University, 1968
A.M. (Statistics) Harvard University, 1965
B.Sc. (Mathematics and Statistics) University of Toronto, 1964