Log-concave Density Estimation

Log-Concave Density Estimation is a nonparametric density estimation method that restricts the class of admissible densities to those whose logarithm is a concave function, thereby ensuring unimodality and structural smoothness without assuming a specific parametric form.

113

Publications

7.4K

Citations

169

Authors

103

Institutions

Publications per year

2017–2026

21

Authors

169

  1. RJ
    Richard J. Samworth

    University of Cambridge, United Kingdom

    9 publications · 547 citations

    9

    h-index

  2. KR
    Kaspar Rufibach

    University of Zurich, Switzerland

    8 publications · 489 citations

    8

    h-index

  3. LD
    Lutz Dümbgen

    University of Bern, Switzerland

    4 publications · 342 citations

    4

    h-index

  4. LD
    Luc Devroye

    McGill University, Canada

    4 publications · 1.7K citations

    4

    h-index

  5. MC
    Madeleine Cule

    University of Westminster, United Kingdom

    4 publications · 390 citations

    4

    h-index

1–5 of 169

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 403 citations

    11

    h-index

  2. The Annals of Statistics

    9 publications · 357 citations

    8

    h-index

  3. IEEE Transactions on Information Theory

    6 publications · 222 citations

    6

    h-index

  4. Statistics & Probability Letters

    5 publications · 94 citations

    5

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 5 publications · 302 citations

    5

    h-index

1–5