Spline Density Estimation

Spline Density Estimation is a nonparametric density estimation method that employs piecewise polynomial spline functions to model the probability density function, distinguishing itself by ensuring smoothness and continuity at the knots through controlled basis function expansion.

22

Publications

910

Citations

36

Authors

22

Institutions

Publications per year

2017–2026

4

Authors

36

  1. CD
    Conor Durkan

    University of Edinburgh, United Kingdom

    3 publications · 62 citations

    3

    h-index

  2. IM
    Iain Murray

    University of Edinburgh, United Kingdom

    3 publications · 62 citations

    3

    h-index

  3. RA
    Richard A. Redner

    University of Tulsa, United States

    3 publications · 59 citations

    3

    h-index

  4. GP
    George Papamakarios

    University of Edinburgh, United Kingdom

    3 publications · 62 citations

    3

    h-index

  5. AB
    Artur Bekasov

    University of Edinburgh, United Kingdom

    3 publications · 62 citations

    3

    h-index

1–5 of 36

Venues

  1. The Annals of Statistics

    4 publications · 435 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 62 citations

    3

    h-index

  3. Urban Studies

    2 publications · 76 citations

    2

    h-index

  4. Pattern Recognition Letters

    1 publications · 14 citations

    1

    h-index

  5. Journal of nonparametric statistics

    1 publications · 12 citations

    1

    h-index

1–5