Sanov's Theorem

Sanov's Theorem is a fundamental result in large deviations theory that characterizes the exponential decay rate of the probability that the empirical distribution of a sequence of independent and identically distributed random variables lies in a given set of probability distributions, expressed in terms of the relative entropy (Kullback–Leibler divergence) from the true distribution to the set.

24

Publications

1.7K

Citations

45

Authors

36

Institutions

Publications per year

2017–2026

1

Authors

45

  1. AS
    Arleta Szkoła

    Technische Universität Berlin, Germany

    3 publications · 380 citations

    3

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  2. JD
    Jean‐Dominique Deuschel

    Technische Universität Berlin, Germany

    3 publications · 111 citations

    3

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  3. RS
    Rainer Siegmund‐Schultze

    Technische Universität Berlin, Germany

    2 publications · 98 citations

    2

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  4. TK
    Tyll Krüger

    Bielefeld University, Germany

    2 publications · 98 citations

    2

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  5. MN
    M. Nussbaum

    University of Vienna, Austria

    2 publications · 304 citations

    2

    h-index

1–5 of 45

Venues

  1. Communications in Mathematical Physics

    3 publications · 380 citations

    3

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  2. Statistics & Probability Letters

    2 publications · 65 citations

    2

    h-index

  3. Stochastic Processes and their Applications

    2 publications · 33 citations

    2

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  4. Bernoulli

    1 publications · 33 citations

    1

    h-index

  5. 1

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