Informative Sampling Schedules

Informative Sampling Schedules is a sparse sampling design method that selects observation times to maximize the information content for model parameter estimation, distinguishing itself by prioritizing temporal points that yield the highest reduction in uncertainty about the underlying dynamics.

5

Publications

431

Citations

12

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

12

  1. DP
    Danny Pfeffermann

    Hebrew University of Jerusalem, Israel

    2 publications · 297 citations

    2

    h-index

  2. MP
    Monica Pratesi

    University of Pisa, Italy

    1 publications · 86 citations

    1

    h-index

  3. NK
    Natasha K. A. van Eijkelenburg

    Princess Máxima Center, Netherlands

    1 publications · 19 citations

    1

    h-index

  4. GN
    Gad Nathan

    Hebrew University of Jerusalem, Israel

    1 publications · 29 citations

    1

    h-index

  5. FA
    Fernando A. S. Moura

    Universidade Federal do Rio de Janeiro, Brazil

    1 publications · 54 citations

    1

    h-index

1–5 of 12

Venues

  1. Biometrika

    1 publications · 54 citations

    1

    h-index

  2. Journal of Statistical Planning and Inference

    1 publications · 29 citations

    1

    h-index

  3. Pediatric Blood & Cancer

    1 publications · 19 citations

    1

    h-index

  4. Florence Research (University of Florence)

    Repository · 1 publications · 86 citations

    1

    h-index

  5. International Statistical Review

    1 publications · 243 citations

    1

    h-index

1–5