Proposal Distribution Design

Proposal Distribution Design is a methodological framework within Markov Chain Monte Carlo that specifies the construction and selection of candidate-generating distributions to ensure efficient exploration of the target probability space.

68

Publications

7.8K

Citations

178

Authors

100

Institutions

Publications per year

2017–2026

15

Authors

178

  1. BM
    Bob Mau

    University of Wisconsin–Madison, United States

    3 publications · 786 citations

    3

    h-index

  2. MA
    Michael A. Newton

    University of Wisconsin–Madison, United States

    3 publications · 786 citations

    3

    h-index

  3. JV
    J. Vermaak

    University of Cambridge, United Kingdom

    3 publications · 120 citations

    3

    h-index

  4. WB
    Wolfram Burgard

    University of Freiburg, Germany

    3 publications · 2.6K citations

    3

    h-index

  5. SG
    Simon Godsill

    University of Cambridge, United Kingdom

    3 publications · 120 citations

    3

    h-index

1–5 of 178

Venues

  1. Statistics and Computing

    4 publications · 113 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 83 citations

    3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 51 citations

    2

    h-index

  4. IEEE Transactions on Signal Processing

    2 publications · 82 citations

    2

    h-index

  5. 2

    h-index

1–5