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:

          Recent talks


          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:

            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.

            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.

            Erhardt, R. and Smith, R.L. (2012), Approximate Bayesian computing for spatial extremes. Computational Statistics and Data Analysis 56 , 1468-1481.

            Hammerling, D., Cefalu, M., Cisewski, J., Dominici, F., Parmigiani, G., Paulson, C. and Smith, R.L. (2014), Completing the Results of the 2013 Boston Marathon. PLoS ONE 9(4): e93800.

            Craigmile, P.F., Guttorp, P., Lund, R., Smith, R.L., Thorne, P.W. and Arndt, D. (2014), Warm streaks in the U.S. temperature record: What are the chances? Journal of Geophysical Research: Atmospheres. Published online : 19 MAY 2014, DOI: 10.1002/2013JD021446

            Erhardt, R.J. and Smith, R.L. (2014), Weather derivative risk measures for extreme events. North American Actuarial Journal, DOI: 10.1080/10920277.2014.910472

            Smith, R.L., Powers, S. and Cisewski, J. (2014), Qualifying times for the Boston marathon. Chance 27 (3), 25-33.

          Grandfather Mountain Marathon 2015

          Duke Forest in the snow, January 24, 2016

          Cleveland Marathon 2016

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          Updated July 23, 2015