Interactive Statistical Computing

Interactive Statistical Computing is a paradigm of statistical software development in which the primary mode of engagement involves immediate, iterative feedback between the user and computational system to facilitate exploratory data analysis, model development, and inference.

137

Publications

11.4K

Citations

335

Authors

147

Institutions

Publications per year

2017–2026

26

Authors

335

  1. DT
    Duncan Temple Lang

    University of California, Davis, United States

    4 publications · 420 citations

    4

    h-index

  2. JF
    John Fox

    McMaster University, Canada

    3 publications · 1.2K citations

    3

    h-index

  3. MR
    Melvin R. Novick

    University of Iowa, United States

    3 publications · 95 citations

    3

    h-index

  4. JM
    John M. Chambers

    AT&T (United States), United States

    3 publications · 62 citations

    3

    h-index

  5. AL
    Alexander Ly

    University of Amsterdam, Netherlands

    2 publications · 986 citations

    2

    h-index

1–5 of 335

Venues

  1. Journal of Statistical Software

    JSS · 10 publications · 5.4K citations

    10

    h-index

  2. The American Statistician

    8 publications · 178 citations

    8

    h-index

  3. Technometrics

    5 publications · 568 citations

    5

    h-index

  4. Journal of Computational and Graphical Statistics

    JCGS · 4 publications · 437 citations

    4

    h-index

  5. 4

    h-index

1–5