Transition Density Estimation

Transition Density Estimation is the statistical methodology for nonparametrically inferring the probability density function that characterizes the instantaneous state transitions of a stochastic process governed by a diffusion equation.

234

Publications

10.9K

Citations

395

Authors

259

Institutions

Publications per year

2017–2026

21

Authors

395

  1. TK
    Takashi Kumagai

    Kyoto University, Japan

    7 publications · 504 citations

    7

    h-index

  2. FN
    Farid N. Najm

    University of Toronto, Canada

    7 publications · 946 citations

    7

    h-index

  3. PK
    Panki Kim

    Seoul National University, South Korea

    5 publications · 360 citations

    5

    h-index

  4. JF
    Jianqing Fan

    Princeton University, United States

    5 publications · 393 citations

    5

    h-index

  5. RS
    Renming Song

    University of Illinois Urbana-Champaign, United States

    5 publications · 372 citations

    5

    h-index

1–5 of 395

Venues

  1. SSRN Electronic Journal

    Repository · 10 publications · 188 citations

    10

    h-index

  2. The Annals of Probability

    7 publications · 288 citations

    7

    h-index

  3. Journal of Applied Probability

    JAP · 7 publications · 187 citations

    7

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 118 citations

    6

    h-index

  5. Physical Review C

    PRC · 5 publications · 133 citations

    5

    h-index

1–5