Richard A. Davis
Department of Statistics
Short Vita

Howard Levene Professor of Statistics
Department of Statistics
Columbia University
New York, NY 10027
212-851-2132
rdavis@stat.columbia.edu.

Education:

  • BA, Mathematics, June 1974, University of California, San Diego
  • Ph.D., Mathematics, June 1979, University of California, San Diego

    Professional Experience:

  • 2007 - present, Howard Levene Professor of Statistics, Columbia University
  • 2006 - present, Professor Laureate, College of Natural Sciences, Colorado State University.
  • 2003 - present, Co-director of PRogram for Interdisciplinary Mathematics, Ecology and Statistics (PRIMES), an NSF IGERT funded project at CSU.
  • 1997 - 2005, Chair, Department of Statistics, Colorado State University.
  • 1990 - present, Professor, Department of Statistics, Colorado State University.
  • 1981 - 1990, Assistant/Associate Professor, Department of Statistics, Colorado State University.
  • 1979 - 1981, Instructor in Applied Mathematics, Massachusetts Institute of Technology.

    Honors:

  • Alumni Faculty of the Year, 1986, Colorado State University, College of Natural Sciences.
  • Elected member: International Statistical Institute (1992).
  • Fellow: Institute of Mathematical Statistics (1995).
  • Koopmans Econometric Theory Prize (1997) (with William Dunsmuir).
  • Fellow: American Statistical Association (2002).

    Special Appointments:

  • 1995 April-May , Visiting Professor, Statistics, Royal Melbourne Institute of Technology.
  • 1995 Feb-April, Visiting Professor, Statistics, University of New South Wales, Sydney.
  • 1989 May, Visiting Research Scholar, Statistics, University of Melbourne.
  • 1987 - 1988, Visiting Associate Professor, Mathematics, U. of California, San Diego.
  • 1984(Spring), Visiting Research Assistant Professor, Center for Stochastic Processes, U. North Carolina

    Editorial positions:

  • Associate editor, Stochastic Processes and Their Applications, Jan `93 - Jan `96
  • Associate Editor, Annals of Applied Probability Jan `94 - Jan `00
  • Associate Editor, J. Statistical Planning and Inference Jan `95 - Jan `01
  • Statistics Editor, Proceedings of the American Mathematics Society Feb `00 - present
  • Associate Editor, Extremes Jan `07 - present
  • Associate Editor, Bernoulli Jan `07 - present

    Contracts, Grants and Fellowships:

  • National Science Foundation, 1981-2006.
  • Environmental Protection Agency (STAR-Program), Applying Spatial and Temporal Models of Statistical Surveys to Aquatic Resources (Co-PIs: Davis and Urquhart), 2001-2005, Colorado State University, Statistics Department.
  • National Science Foundation IGERT Grant, Program for Interdisciplinary Mathematics, Ecology, and Statistics (PRIMES) (R. Davis, PI; D. Estep, T. Hobbs, R. Miranda, co-PIs) 2003-2008, Colorado State University.
  • 2003 IBM Faculty Award

    Selected Publications:

  • (1991) Time Series: Theory and Methods, 2nd edition (with P.J. Brockwell) Springer-Verlag, NY.
  • (1996) Gauss-Newton and M-Estimation for ARMA PRocesses with Infinite Variance, Stoch. Process Appl. 63 , 75-95.
  • (1996) Maximum likelihood estimation for MA(1) processes with a root on or near the unit circle (with W.T.M Dunsmuir). Econometric Theory 12 1-29.
  • (1998) The sample ACF of heavy-tailed stationary processes with applications to ARCH (with Thomas Mikosch). Annals of Statistics 26 522-536.
  • (2001) Least absolute deviation estimation for all-pass time series models (with F.J. Breidt and A. Trindade} Annals of Statistics 29 919-946.
  • (2001) A characterization of multivariate regular variation (with Bojan Basrak and Thomas Mikosch). (To appear in Annals of Applied Probability.)
  • (2002) Introduction to Time Series and Forecasting, 2nd edition (with P.J. Brockwell) Springer-Verlag, NY.
  • Davis, R.A., Lee, T., and Rodriguez-Yam, G. (2006). Structural Break Estimation for Nonstationary Time Series Models. J. American Statist. Assoc. 101, 229-239. pdf file
  • Andrews, Beth, Davis, R.A., and Breidt, F. Jay (2007). Rank Estimation for All-Pass Time Series Models. Annals of Statistics 35 . pdf file
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