Convergence In Probability

Convergence in Probability is a mode of stochastic convergence in which a sequence of random variables converges to a random variable if, for every positive epsilon, the probability that the sequence differs from the limit by more than epsilon tends to zero as the index increases.

149

Publications

8K

Citations

187

Authors

130

Institutions

Publications per year

2017–2026

30

Variants

Convergence In Measure

Authors

187

  1. BC
    Binod Chandra Tripathy

    Institute of Advanced Study in Science and Technology, India

    14 publications · 402 citations

    13

    h-index

  2. SG
    Sanjoy Ghosal

    University of Kalyani, India

    6 publications · 127 citations

    6

    h-index

  3. PD
    Piyali Debnath

    National Institute of Technology Agartala, India

    5 publications · 118 citations

    6

    h-index

  4. BD
    Birojit Das

    National Institute of Technology Agartala, India

    6 publications · 134 citations

    6

    h-index

  5. ES
    Ekrem Savaș

    Istanbul Commerce University, Türkiye

    6 publications · 174 citations

    6

    h-index

1–5 of 187

Venues

  1. 5

    h-index

  2. Transactions of the American Mathematical Society

    TRAN · 4 publications · 406 citations

    4

    h-index

  3. Filomat

    4 publications · 69 citations

    4

    h-index

  4. Statistics & Probability Letters

    4 publications · 78 citations

    4

    h-index

  5. Stochastic Processes and their Applications

    3 publications · 107 citations

    3

    h-index

1–5