State-space Calibration

State-Space Calibration is a Bayesian calibration method that specifies a probabilistic framework for jointly estimating system states and model parameters by recursively updating their posterior distributions through time-varying state-space models.

5

Publications

164

Citations

17

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

17

  1. SD
    Sarai Díaz

    University of Castilla-La Mancha, Spain

    1 publications · 20 citations

    1

    h-index

  2. ME
    M. E. Hidalgo

    Centro de Estudios e Investigaciones Técnicas de Gipuzkoa, Spain

    1 publications · 12 citations

    1

    h-index

  3. ME
    Martin E. Lord

    Lancaster University, United Kingdom

    1 publications · 97 citations

    1

    h-index

  4. NT
    Nathaniel Trask

    Sandia National Laboratories, United States

    1 publications · 21 citations

    1

    h-index

  5. SK
    Sharlotte Kramer

    Sandia National Laboratories, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 17

Venues

  1. 1

    h-index

  2. Water Resources Management

    1 publications · 20 citations

    1

    h-index

  3. The American Journal of Psychology

    AJP · 1 publications · 14 citations

    1

    h-index

  4. Computational Mechanics

    1 publications · 21 citations

    1

    h-index

  5. Water Research

    1 publications · 12 citations

    1

    h-index

1–5