Sequential Value Of Information

Sequential Value of Information is a decision-theoretic framework that quantifies the expected utility gained from acquiring information in a stepwise, adaptive manner, distinguishing it from static or batch evaluation by explicitly modeling the temporal sequence and dependencies of observations in an iterative evidence-gathering process.

33

Publications

2.1K

Citations

88

Authors

53

Institutions

Publications per year

2017–2026

7

Authors

88

  1. PI
    Peter I. Frazier

    Cornell University, United States

    2 publications · 536 citations

    2

    h-index

  2. WB
    Warren B. Powell

    Princeton University, United States

    2 publications · 536 citations

    2

    h-index

  3. RC
    R.J. Casimir

    Tilburg University, Netherlands

    1 publications · 19 citations

    1

    h-index

  4. JE
    James E. Nieters

    Cisco Systems (China), China

    1 publications · 10 citations

    1

    h-index

  5. SO
    Shayegan Omidshafiei

    Massachusetts Institute of Technology, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 88

Venues

  1. Bulletin of the Psychonomic Society

    2 publications · 20 citations

    2

    h-index

  2. Journal of Political Economy

    JPE · 1 publications · 21 citations

    1

    h-index

  3. American Journal of Agricultural Economics

    1 publications · 70 citations

    1

    h-index

  4. 1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 85 citations

    1

    h-index

1–5