Second-order Asymptotics

Second-Order Asymptotics is a theoretical framework in finite blocklength information theory that characterizes the rate of convergence of operational quantities to their first-order asymptotic limits by providing refined approximations that include variance-type terms and normalizing factors scaling with the square root of block length.

894

Publications

41.6K

Citations

1.3K

Authors

680

Institutions

Publications per year

2017–2026

69

Authors

1.3K

  1. MH
    Masahito Hayashi

    Nagoya University, Japan

    10 publications · 421 citations

    10

    h-index

  2. YF
    Yasunori Fujikoshi

    Hiroshima University, Japan

    9 publications · 197 citations

    9

    h-index

  3. JJ
    Jana Jurečková

    Charles University, Czechia

    7 publications · 302 citations

    7

    h-index

  4. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    6 publications · 194 citations

    6

    h-index

  5. NM
    Nitis Mukhopadhyay

    University of Connecticut, United States

    6 publications · 218 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. The Annals of Statistics

    39 publications · 2.5K citations

    27

    h-index

  2. Journal of Multivariate Analysis

    37 publications · 2K citations

    23

    h-index

  3. Journal of Mathematical Analysis and Applications

    41 publications · 1.3K citations

    21

    h-index

  4. Journal of Econometrics

    19 publications · 1.2K citations

    17

    h-index

  5. IEEE Transactions on Information Theory

    19 publications · 1.2K citations

    17

    h-index

1–5