Slud, Eric

Eric Slud
Professor
Department of Mathematics
College of Computer, Mathematical and Natural Sciences
2314 Math Building
Phone: 
301-405-5469
General Research Interests: 
  • Survival data analysis
  • Census statistics
  • Large-scale data problems with emphasis on cross-classified data
  • Stochastic processes

My primary research interests are in mathematical statistics and probability, specifically in the following areas:

(I) Survival data analysis, which includes both semiparametric inference and clinical 
           trial design issues. The semiparametric work emphasizes maximization of variants 
           of nonparametric likelihoods, especially in Transformation and Frailty models. 
           Further work on a general approach to efficient semiparametric estimation described 
           in slides from a talk given in the IISA Conference, June 14, 2002. Other current work 
           relates to decision-theoretic optimal early-stopping procedures and new designs in clinical trials.
 
(II) Census statistics, specifically demographic modelling of nonresponse to national 
            surveys, with particular application to Weighting Adjustment and Small Area 
            Estimation (SAE). Much of my small-area estimation work has been directed 
            toward the SAIPE (Small Area Income and Poverty Estimation ) program of 
            the Census Bureau. See for example the comparative SAE study. My methodological
            research in this area includes small-area and MSE estimation from survey data satisfying
            nonlinearly transformed Fay-Herriot models or left-censored Fay-Herriot models.
 
(III) Large-scale data problems with emphasis on cross-classified data
           Principal Components (paper on representation of tongue surface during 
           speech, recently appeared in the journal Phonetica), and clustering. More recently, 
           I have had two students (Yang Cheng and Sophie Tsou) obtain PhDs working 
           on Factor Analysis models. 
 
(IV) Stochastic processes, currently emphasizing high-dimensional Markov 
            processes applied to equilibria in Economics (paper in Journal of Economic 
            Theory, for which 2nd pdf file in directory contains Figure); to Protein-folding; 
            and to ascertainment of number of distinct DNA `species' from sequencing 
            experiments.
 
Background: 

Education

Harvard BA '72

MIT PhD '76

Fellow of Institute of Mathematical Statistics and American Statistical Association
Faculty member in the Statistics Program since 1976, as Full Professor since 1989