RichardLSmithMark L. Reed Distinguished Professor
303 Hanes Hall
(919) 962 – 2660 (phone)
Personal website

Extreme Value Theory, Environmental Statistics, Spatial Statistics

Ph.D. (1979) Cornell University

Professional Background:
Richard L. Smith has been Professor of Statistics at the University of North Carolina, Chapel Hill, since 1991, and became Mark L. Reed Distinguished Professor in July, 2004. He obtained his PhD from Cornell University in 1979 and has previously held academic positions at Imperial College (London), the University of Surrey (Guildford, England) and Cambridge University. His principal areas of research are spatial statistics, time series analysis, extreme value theory and Bayesian statistics. Specific areas of expertise include spatial and time series modeling of environmental pollutants, the health effects of atmospheric pollution, the statistics of global climate change, and extreme values in insurance and finance. 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.

Selected Publications:
G.A. Young and R.L. Smith (2005), Essentials of Statistics Inference. Cambridge University Press.

C. Tebaldi, R.L. Smith, D. Nychka and L.O. Mearns (2005), Quantifying uncertainty in projections of regional climate change: A Bayesian approach to the analysis of multi-model ensembles. Journal of Climate 18 1524-1540.

C. Tebaldi, L.O. Mearns, D. Nychka and R.L. Smith (2004), Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations. Geophysical Research Letters 31 L24213, doi:10.1029/2004GL021276, 2004.

More Information:
View information on Professor Smith’s research, CV, doctoral students, and recent talks at his website.