Spatio-temporal Density Estimation

Spatio-Temporal Density Estimation is a statistical inference method that models the intensity or distribution of events across jointly continuous spatial and temporal domains, distinguishing itself from purely spatial or temporal density estimation by incorporating both geographical location and time as integral dimensions of the underlying event-generating process.

37

Publications

1.6K

Citations

127

Authors

65

Institutions

Publications per year

2017–2026

15

Authors

127

  1. MP
    Marc Peter Deisenroth

    Imperial College London, United Kingdom

    2 publications · 38 citations

    2

    h-index

  2. ZZ
    Zhengyi Zhou

    Tsinghua University, China

    2 publications · 58 citations

    2

    h-index

  3. JH
    James Hensman

    University of Sheffield, United Kingdom

    2 publications · 38 citations

    2

    h-index

  4. DS
    David S. Matteson

    Cornell University, United States

    2 publications · 58 citations

    2

    h-index

  5. HS
    Hugh Salimbeni

    Imperial College London, United Kingdom

    2 publications · 38 citations

    2

    h-index

1–5 of 127

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 34 citations

    3

    h-index

  2. 1

    h-index

  3. Geographical Analysis

    1 publications · 28 citations

    1

    h-index

  4. Applied Geography

    1 publications · 169 citations

    1

    h-index

  5. ACM Transactions on Internet Technology

    TOIT · 1 publications · 18 citations

    1

    h-index

1–5