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INTRODUCTION BY SESSION CHAIR 66 David Scott, Chair of Session on High-Energy Physics Introduction by Session Chair Transcript of Presentation BIOSKETCH: David Scott is the Noah Harding Professor of Statistics at Rice University. He earned his BA in electrical engineering and mathematics in 1972 and his PhD in mathematical sciences in 1976, both from Rice University. Dr. Scott's research interests focus on the analysis and understanding of data with many variables and cases. The research program encompasses basic theoretical studies of multivariate probability density estimation, computationally intensive algorithms in statistical computing, and data exploration using advanced techniques in computer visualization. Working with researchers at Rice, Baylor College of Medicine, and elsewhere, he has published practical applications in the fields of heart disease, remote sensing, signal processing, clustering, discrimination, and time series. With other members of the department, Dr. Scott worked with the former Texas Air Control Board on ozone forecasting, and currently collaborates with Rice Environmental Engineers on understanding and visualization of massive data. In the field of nonparametric density estimation, Dr. Scott has provided a fundamental understanding of many estimators, including the histogram, frequency polygon, averaged shifted histogram, discrete penalized-likelihood estimators, adaptive estimators, oversmoothed estimators, and modal and robust regression estimators. In the area of smoothing parameter selection, he has provided basic algorithms, including biased cross-validation and multivariate cross-validation. Exciting problems in very high dimensional data and specialized topics remain open for investigation. Dr. Scott is a fellow of the American Statistical Association (ASA), the Institute of Mathematical Statistics, the American Association for the Advancement of Science, and a member of the International Statistics Institute. He received the ASA Don Owen Award in 1993. He is the author of Multivariate Density Estimation: Theory, Practice, and Visualization. He is currently editor of the Journal of Computational and Graphical Statistics. He is past editor of Computational Statistics and was recently on the editorial board of Statistical Sciences. He has served as associate editor of the Journal of the American Statistical Association and the Annals of Statistics. He has also held several
INTRODUCTION BY SESSION CHAIR 67 offices in the Statistical Graphics Section of the American Statistical Association, including program chair, chair-elect, chair, and currently past chair.
