A Conversation with George C. Tiao Articles uri icon

authors

  • PE√ĎA GIL, DANIEL
  • TSAY, RUEY

publication date

  • August 2010

start page

  • 408

end page

  • 428

issue

  • 3

volume

  • 25

International Standard Serial Number (ISSN)

  • 0883-4237

abstract

  • George C. Tiao was born in London in 1933. After graduating with a B.A. in Economics from National Taiwan University in 1955 he went to the US to obtain an M.B.A from New York University in 1958 and a Ph.D. in Economics from the
    University of Wisconsin, Madison in 1962. From 1962 to 1982 he was Assistant,
    Associate, Professor and Bascom Professor of Statistics and Business at the
    University of Wisconsin, Madison, and in the period 1973--1975 was Chairman of
    the Department of Statistics. He moved to the Graduate School of Business at
    the University of Chicago in 1982 and is the W. Allen Wallis Professor of
    Econometrics and Statistics (emeritus). George Tiao has played a leading role
    in the development of Bayesian Statistics, Time Series Analysis and
    Environmental Statistics. He is co-author, with G.E.P. Box, of Bayesian
    Inference in Statistical Analysis and is the developer of a model-based
    approach to seasonal adjustment (with S. C. Hillmer), of outlier analysis in
    time series (with I. Chang), and of new ways of vector ARMA model building
    (with R. S. Tsay). He is the author/co-author/co-editor of 7 books and over 120
    articles in refereed econometric, environmental and statistical journals and
    has been thesis advisor of over 25 students. He is a leading figure in the
    development of Statistics in Taiwan and China and is the Founding President of
    the International Chinese Statistical Association 1987--1988 and the Founding
    Chair Editor of the journal Statistica Sinica 1988--1993. He played a leading
    role (over the 20 year period 1979--1999) in the organization of the annual
    NBER/NSF Time Series Workshop and he was a founding member of the annual
    conference "Making Statistics More Effective in Schools of Business"
    1986--2006.