Keh-Shin Lii

Keh-Shin Lii

Keh-Shin Lii

Professor of the Graduate Division,
Professor Emeritus, Statistics,
Cooperating Faculty, Electrical Engineering and Computer Science

Office: 1442 Olmsted Hall
Mail: 1337 Olmsted Hall
University of California, Riverside
Riverside, CA 92521

Telephone: 951-827-3836
Email: ksl@stat.ucr.edu
Fax: 951-827-3286

Class Offerings:

  • Statistical Forecasting Techniques 146
  • Introduction to Probability Models 161
  • Statistical Computing 207AB
  • Time Series Analysis 216AB
  • Statistical Consulting and Data Analysis 293C

Research Interests:

Spectral Analysis of Spatial/Temporal Weather Variations

One environmental focus of Dr. Lii's research is directed toward developing a general theory on multidimensional (spatial/temporal) spectral analysis methodology for the study of fire weather/climate variations, with the goal of applying this methodology to the analysis of U.S. fire climate fields. This research project includes development of a computerized procedure that implements the multidimensional spectral analysis methodology.

A dearth of satisfactory statistical methods for analyzing spatial and temporal variations in climate data impairs the ability of researchers to describe the long-term characteristics of climate, which is particularly important in global change research. Dr. Lii is pursuing one promising statistical approach, which is a multidimensional extension of spectral analysis (when the data set is gathered by a random sampling scheme rather then gathered on a regular grid), as applied in time series problems.

The goal of this research is to identify spatial and temporal variations in data -- monthly fire weather variables in the contiguous United States -- on continuous spectra. The spectra thus summarize the preferred frequencies, if any, in the data. Monthly mean temperature, relative humidity, windspeed, or a combination thereof are available for 127 weather stations, and monthly temperature and precipitation are available for over 1200 stations. The choice of dataset will be influenced by the computational requirements of the methods.


More Information

General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

Career OpportunitiesUCR Libraries
Campus StatusDirections to UCR

Department Information

Department of Statistics

Tel: (951) 827-3774
Fax: (951) 827-3286