Emeriti
Theodore W. Anderson
Professor of Statistics and Economics, Emeritus
Research Interest: Multivariate Analysis, Time Series
Contact info:
Sequoia Hall 236
650.723.4732
            
Personal Website
www-stat.stanford.edu/twa/
Jerome H. Friedman
Professor Emeritus in Statistics
Research Interest: Machine Learning
Contact Info:
Sequoia Hall 134
650.723.9329
             
Dr. Friedman is one of the world's
leading researchers in statistics and data mining. He has been a
Professor of Statistics at Stanford University for over 20 years and
has published on a wide range of data-mining topics including
nearest neighbor classification, logistical regressions, and
high-dimensional data analysis. His primary research interest is in
the area of machine learning.
Personal Website
stat.stanford.edu/~jhf/
Ingram Olkin
Professor of Statistics and of Education, Emeritus
CHP/PCOR Fellow
Contact Info:
Sequoia Hall 126
650.723.2628
  
Dr. Olkin's work is aimed at ensuring that
educators select the proper statistical tools for measuring the
outcomes of their programs and methods, and that their interpretation
of the results is similarly rigorous. His research includes the
development of powerful new statistical methods for combining results
from independent studies that have analyzed the same topic. This
relatively young science of meta-analysis is assisting researchers to
reconsider long-standing educational problems with a fresh critical
eye. Dr. Olkin is a Guggenheim, Fulbright, and Lady Davis Fellow, with
an honorary doctorate from De Montfort University. He received his BS
in mathematics at the City College of New York, his MA from Columbia
University, and his PhD from the University of North Carolina.
Research Interests: Analysis of social and
behavioral models; Multivariate statistical analysis; Correlational
and regression models in educational processes; Meta-analysis
Charles Stein
Professor Emeritus in Statistics
Research Interest: Probability
Contact info:
Paul Switzer
Professor Emeritus in Statistics
Contact Info:
Sequoia Hall 226
650.723.2879
Dr. Switzer's research interests are in
the development of statistical tools for the environmental
sciences. Recent research has focused on the interpretation of
environmental monitoring data, design of monitoring networks,
detection of time trends in environmental and climatic paramenters,
modeling of human exposure to pollutants, statistical evaluation of
numerical climate models and error estimation for spatial
mapping. After the Loma Prieta earthquake, Dr. Switzer spent some
time critically evaluating statistical earthquake prediction
algorithms.
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