Intensity Function Modeling

Intensity Function Modeling is a statistical methodology within survival and event history analysis that specifies the instantaneous rate of occurrence of an event given the history of prior events, distinguished by its focus on capturing the dynamic intensity of events over time in continuous-time stochastic processes.

232

Publications

11.9K

Citations

489

Authors

276

Institutions

Publications per year

2017–2026

48

Authors

489

  1. JY
    Junchi Yan

    Shanghai Jiao Tong University, China

    8 publications · 480 citations

    8

    h-index

  2. HZ
    Hongyuan Zha

    Georgia Institute of Technology, United States

    7 publications · 467 citations

    7

    h-index

  3. LS
    Le Song

    Georgia Institute of Technology, United States

    6 publications · 319 citations

    6

    h-index

  4. SX
    Shuai Xiao

    Shanghai Jiao Tong University, China

    6 publications · 453 citations

    6

    h-index

  5. SB
    Subarna Bhattacharjee

    Indian Institute of Technology Kharagpur, India

    3 publications · 91 citations

    4

    h-index

1–5 of 489

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 537 citations

    13

    h-index

  2. Journal of the American Statistical Association

    13 publications · 1.6K citations

    12

    h-index

  3. IEEE Transactions on Reliability

    7 publications · 180 citations

    7

    h-index

  4. 5

    h-index

  5. IEEE Transactions on Information Theory

    5 publications · 285 citations

    5

    h-index

1–5