No-u-turn Sampler

The No-U-Turn Sampler is an adaptive Markov chain Monte Carlo algorithm that automatically tunes its proposal distribution by dynamically constructing trajectories in a Hamiltonian state space, thereby avoiding unnecessary backtracking through a stopping criterion that terminates sampling when the path begins to retrace its steps.

31

Publications

14.9K

Citations

90

Authors

59

Institutions

Publications per year

2017–2026

25

Variants

Nuts

Authors

90

  1. TM
    Tshilidzi Marwala

    University of the Witwatersrand, South Africa

    4 publications · 68 citations

    4

    h-index

  2. AG
    Andrew Gelman

    Columbia University, United States

    4 publications · 12.5K citations

    4

    h-index

  3. RM
    Rendani Mbuvha

    University of the Witwatersrand, South Africa

    4 publications · 68 citations

    4

    h-index

  4. WT
    Wilson Tsakane Mongwe

    University of Johannesburg, South Africa

    4 publications · 68 citations

    4

    h-index

  5. JL
    Jorge L. Bazán

    Universidade de São Paulo, Brazil

    3 publications · 59 citations

    3

    h-index

1–5 of 90

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 5.4K citations

    6

    h-index

  2. IEEE Access

    2 publications · 32 citations

    2

    h-index

  3. PLoS ONE

    2 publications · 120 citations

    2

    h-index

  4. 1

    h-index

  5. Journal of Statistical Software

    JSS · 1 publications · 7.4K citations

    1

    h-index

1–5