Transition Probability Models

Transition Probability Model is a statistical framework within duration analysis that specifies the likelihood of moving between discrete states over time, distinguished by its focus on state-to-state transition intensities as a function of time and covariates.

1.1K

Publications

48.5K

Citations

2.7K

Authors

1.1K

Institutions

Publications per year

2017–2026

236

Authors

2.7K

  1. NV
    Nikolay V. Vitanov

    Sofia University "St. Kliment Ohridski", Bulgaria

    10 publications · 219 citations

    10

    h-index

  2. TL
    T. L. Cottrell

    University of Oxford, United Kingdom

    6 publications · 192 citations

    6

    h-index

  3. TW
    Tao Wang

    University of Science and Technology of China, China

    6 publications · 199 citations

    6

    h-index

  4. NZ
    Nengwu Zheng

    University of Science and Technology of China, China

    4 publications · 155 citations

    4

    h-index

  5. RW
    R. W. Nicholls

    York University, Canada

    4 publications · 167 citations

    4

    h-index

1–5 of 2.7K

Venues

  1. The Journal of Chemical Physics

    43 publications · 2.5K citations

    25

    h-index

  2. Physical Review

    16 publications · 3K citations

    15

    h-index

  3. PLoS ONE

    10 publications · 532 citations

    10

    h-index

  4. Journal of Applied Probability

    JAP · 10 publications · 223 citations

    10

    h-index

  5. Physical Review A

    PRA · 10 publications · 377 citations

    10

    h-index

1–5