Probability Density Functions

A Probability Density Functions is a non-negative real-valued function that belongs to the class of mathematical representations of probability distributions for continuous random variables, distinguished by the property that its integral over a given interval yields the probability that the random variable falls within that interval.

4.5K

Publications

271.3K

Citations

10.6K

Authors

2.8K

Institutions

Publications per year

2017–2026

811

Variants

PdfPdfsProbability Density Function

Authors

10.6K

  1. HW
    Hong Wang

    University of Manchester, United Kingdom

    31 publications · 1.4K citations

    20

    h-index

  2. JL
    Jie Li

    Tongji University, China

    18 publications · 1.7K citations

    16

    h-index

  3. JC
    Jianbing Chen

    Tongji University, China

    17 publications · 1.4K citations

    15

    h-index

  4. EK
    Eun‐jin Kim

    University of Sheffield, United Kingdom

    14 publications · 336 citations

    12

    h-index

  5. UD
    Uwe D. Hanebeck

    Karlsruhe Institute of Technology, Germany

    10 publications · 208 citations

    10

    h-index

1–5 of 10.6K

Venues

  1. IEEE Transactions on Information Theory

    69 publications · 5.7K citations

    36

    h-index

  2. Physical Review Letters

    PRL · 51 publications · 9.2K citations

    36

    h-index

  3. Water Resources Research

    42 publications · 5.4K citations

    31

    h-index

  4. Physical Review E

    PRE · 63 publications · 6.9K citations

    30

    h-index

  5. The Astrophysical Journal

    ApJ · 44 publications · 10K citations

    28

    h-index

1–5