Memoryless Assumption

The Memoryless Assumption is a foundational principle in stochastic modeling that posits the future state of a process depends solely on the present state and is conditionally independent of all past states given the current state.

58

Publications

2.1K

Citations

138

Authors

92

Institutions

Publications per year

2017–2026

11

Authors

138

  1. YH
    Y. H. Wang

    Concordia University, Canada

    2 publications · 23 citations

    2

    h-index

  2. SR
    S.S. Rappaport

    State University of New York, United States

    2 publications · 93 citations

    2

    h-index

  3. PV
    Philip V. Orlik

    Mitsubishi Electric (United States), United States

    2 publications · 93 citations

    2

    h-index

  4. HK
    Hyoungsoo Kim

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 47 citations

    2

    h-index

  5. MS
    Markus Strohmaier

    Graz University of Technology, Austria

    1 publications · 106 citations

    1

    h-index

1–5 of 138

Venues

  1. Automatica

    2 publications · 58 citations

    2

    h-index

  2. IEEE Transactions on Information Theory

    2 publications · 23 citations

    2

    h-index

  3. Journal of Applied Probability

    JAP · 2 publications · 23 citations

    2

    h-index

  4. Manufacturing & Service Operations Management

    1 publications · 42 citations

    1

    h-index

  5. Psychometrika

    1 publications · 19 citations

    1

    h-index

1–5