Richard L. Smith

statistics faculty at unc-ch
____________

rls@email.unc.edu

201 Smith
919-962 2660
Fax: 919 962-0391

Richard L. Smith

Mark L. Reed III Distinguished Professor

Richard L. Smith has been Professor of Statistics at the University of North Carolina, Chapel Hill, since 1991, and became Mark L. Reed III Distinguished Professor in July, 2004. Since 2008, he also holds the position of Professor of Biostatistics in the School of Public Health. 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.

Teaching for Spring Semester 2008:

STOR 356, Spring 2008.

Teaching for Spring Semester 2007:

STOR 356, Spring 2007.

STOR 757, Spring 2007.

Links to older teaching webpages:

Statistics 151, Section 2, Fall 2006.

Statistics 322: Environmental Statistics, Spring 2005

Statistics 174: Applied Statistics I, Fall 2004

Statistics 321: Environmental Statistics, Spring 2003

Statistics 185: Time Series and Multivariate Analysis

Research:

Recent 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. Preprint
Corrigendum (to be published, August 14 2005)

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. pdf file

D.M. Holland, P. Caragea and R.L. Smith (2004), Regional trends in rural sulfur concentrations. Atmospheric Environment 38 , 1673-1684. pdf file

R.L. Smith (2003), Statistics of extremes, with applications in environment, insurance and finance. Chapter 1 of, Extreme Values in Finance, Telecommunications and the Environment, edited by B. Finkenstadt and H. Rootzen, Chapman and Hall/CRC Press, London, pp. 1-78. Preprint

R.L. Smith, S. Kolenikov and L.H. Cox (2003), Spatio-temporal modeling of PM2.5 data with missing values. J. Geophys. Res., 108(D24), 9004, doi:10.1029/2002JD002914, 2003. pdf file

Personal photos (new set posted 06/15/08)

Cleveland Marathon, May 18 2008

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