Department of Statistics and Operations Research,
University of North Carolina,
Chapel Hill, NC 27599-3260.

Office: 303 Hanes Hall
Phone: 919-962-2660
Fax: 919-962-1279
Email: rls at

        Richard L. Smith
          Mark L. Reed III Distinguished Professor

          Richard L. Smith is Mark L. Reed III Distinguished Professor of Statistics and Professor of Biostatistics in the University of North Carolina, Chapel Hill. He is also Director of the Statistical and Applied Mathematical Sciences Institute, a Mathematical Sciences Institute supported by the National Science Foundation. He obtained his PhD from Cornell University and previously held academic positions at Imperial College (London), the University of Surrey (Guildford, England) and Cambridge University. His main research interest is environmental statistics and associated areas of methodological research such as spatial statistics, time series analysis and extreme value theory. He is particularly interested in statistical aspects of climate change research, and in air pollution including its health effects. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, an Elected Member of the International Statistical Institute, and has won the Guy Medal in Silver of the Royal Statistical Society, and the Distinguished Achievement Medal of the Section on Statistics and the Environment, American Statistical Association. In 2004 he was the J. Stuart Hunter Lecturer of The International Environmetrics Society (TIES). He is also a Chartered Statistician of the Royal Statistical Society.

          Research Webpages:

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          Full CV

          Ph.D. Theses

          Teaching Webpages:

          STOR 664: Applied Statistics I, Fall 2009.

          STOR 940: SAMSI course on Spatial Epidemiology, Fall 2009.

          STOR 151 (Basic Concepts of Statistics), Spring 2010.

          STOR 654 (Time Series and Multivariate Analysis), Fall 2008.

          STOR 890 (Environmental Statistics), Spring 2009.

          STOR 356, Spring 2008.

          Statistics 174: Applied Statistics I, Fall 2004

          Recent Publications:

            Z. Zhang and R.L. Smith (2010), On the estimation and application of max-stable processes. Journal of Statistical Planning and Inference 140 , 1135-1153.

            M.J. Heaton, M. Katzfuss, S. Ramachandar, K. Pedings, E. Gilleland, E. Mannshardt-Shamseldin and R.L. Smith (2010), Spatio-temporal models for large-scale indicators of extreme weather. Environmetrics , 22 (3) , 294-303.

            C. Park, F. Hernandez-Campos, L. Le, J.S. Marron, J. Park, V. Pipiras, F.D. Smith, R.L. Smith, M. Trovero and Z. Zhu (2010), Long-range dependence analysis of Internet traffic. Journal of Applied Statistics , first published on 30 September 2010 (iFirst), DOI: 10.1080/02664763.2010.505949.

            E.C. Mannshardt-Shamseldin, R.L. Smith, S.R. Sain, L.D. Mearns and D. Cooley (2010), Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data. Annals of Applied Statistics 4 (1) , 484-502.

            R.L. Smith, B. Xu and P. Switzer (2009), Reassessing the relationship between ozone and short-term mortality in U.S. urban communities. Inhalation Toxicology 21 (S2) , 37-61.

            R.L. Smith, C. Tebaldi, D. Nychka and L.O. Mearns (2009), Bayesian Modeling of Uncertainty in Ensembles of Climate Models. Journal of the American Statistical Association 104 , 97-116.

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            Updated July 28 2008