William S. Cleveland

Last updated
William S. Cleveland
Born1943 (1943)
CitizenshipAmerican
Alma mater Princeton University
Yale University
Known for Dot plot
Local regression
S (programming language)
Honors Wilcoxon Award, Technometrics (1975, 1977)

Youden Prize, Technometrics (1987)

National Statistician of the Year, Chicago chapter of the American Statistical Association (1996)

Contents

Lifetime Achievement Award in Graphics and Computing, American Statistical Association (2016)

Parzen Prize for Statistical Innovation, Texas A&M (2016)

Honorary Doctorate, Hasselt University (2021)
Scientific career
Fields Statistics
Computer science
Institutions Bell Labs (Murray Hill)
Purdue University
Doctoral advisor Leonard Jimmie Savage

William Swain Cleveland II (born 1943) is an American computer scientist and professor of statistics and professor of computer science at Purdue University, known for his work on data visualization, particularly on nonparametric regression [1] and local regression. [2] He is remembered as one of the developers of the S programming language. [3]

Biography

Cleveland obtained his AB in Mathematics mid 1960s from Princeton University, where he graduated under William Feller. For his PhD studies in Statistics he moved to Yale University, where he graduated in 1969 under Leonard Jimmie Savage. [4] [5]

After graduation Cleveland started at Bell Labs, where he was staff member of the Statistics Research Department and Department Head for 12 years. While at Bell Labs, he helped to develop the S programming language, a precursor to R. [3] Eventually he moved to the Purdue University, where he became Professor of Statistics and Courtesy Professor of Computer Science. In 1982 he was elected as a Fellow of the American Statistical Association. [6]

His research interests are in the fields of "data visualization, computer networking, machine learning, data mining, time series, statistical modeling, visual perception, environmental science, and seasonal adjustment." [7] Cleveland is credited with defining and naming the field of data science, which he did in a 2001 publication. [8]

Professor Cleveland is listed as retired as of January 1, 2025. [9]

Selected publications

Articles, a selection: [10]

References

  1. Armitage, Peter, Geoffrey Berry, and John NS Matthews. Statistical methods in medical research. John Wiley & Sons, 2008.
  2. Venables, William N., and Brian D. Ripley. Modern applied statistics with S. Springer Science & Business Media, 2002.
  3. 1 2 Berry, Kenneth J.; Johnston, Janis E.; Jr, Paul W. Mielke (2014-04-11). A Chronicle of Permutation Statistical Methods: 1920–2000, and Beyond. Springer Science & Business Media. p. 207. ISBN   978-3-319-02744-9.
  4. William S. Cleveland, CV Archived 2015-09-24 at the Wayback Machine , at stat.purdue.edu. Accessed 10-04-2015.
  5. "William Swain Cleveland, II". The Mathematics Genealogy Project. Retrieved 2 July 2022.
  6. View/Search Fellows of the ASA Archived 2016-06-16 at the Wayback Machine , accessed 2016-10-15.
  7. William S. Cleveland: Bio Archived 2015-07-09 at the Wayback Machine , at stat.purdue.edu. Accessed 10-04-2015.
  8. Brady, Henry E. (2019-05-11). "The Challenge of Big Data and Data Science". Annual Review of Political Science. 22 (1): 297–323. doi: 10.1146/annurev-polisci-090216-023229 . ISSN   1094-2939.
  9. "Retiree Recognition - Human Resources - Purdue University". www.purdue.edu. Retrieved 2025-11-11.
  10. William S. Cleveland, Google scholar profile.