Integer-valued Autoregressive Models

Integer-Valued Autoregressive Models is a class of discrete-time stochastic processes that belong to the family of autoregressive models specifically designed for count data, distinguished by their restriction to integer-valued random variables and the incorporation of binomial thinning operators to model dependence over time.

165

Publications

8.1K

Citations

220

Authors

144

Institutions

Publications per year

2017–2026

64

Variants

Inar Models

Authors

220

  1. FZ
    Fukang Zhu

    Jilin University, China

    18 publications · 420 citations

    16

    h-index

  2. DW
    Dehui Wang

    Jilin University, China

    17 publications · 389 citations

    14

    h-index

  3. MM
    Miroslav M. Ristić

    University of Nis, Serbia

    13 publications · 677 citations

    12

    h-index

  4. CW
    Christian Weiß

    Helmut Schmidt University, Germany

    10 publications · 393 citations

    10

    h-index

  5. AS
    Aleksandar S. Nastić

    University of Nis, Serbia

    9 publications · 528 citations

    9

    h-index

1–5 of 220

Venues

  1. Journal of Time Series Analysis

    27 publications · 3.2K citations

    22

    h-index

  2. Communication in Statistics- Theory and Methods

    14 publications · 381 citations

    12

    h-index

  3. Journal of Statistical Computation and Simulation

    JSCS · 11 publications · 221 citations

    10

    h-index

  4. 8

    h-index

  5. Brazilian Journal of Probability and Statistics

    REBRAPE · 6 publications · 149 citations

    6

    h-index

1–5