Distributions of the Kullback-Leibler divergence with applications.

By Dmitry I. Belov, Ronald D. Armstrong. 2011

133 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability, Information Theory

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Douwe Kiela
2. Margaret Mitchell

In Management Science and Operations Research

1. Tristan Thrush
2. Angelina McMillan-Major
3. Douwe Kiela
4. Yacine Jernite
5. Alexandra Sasha Luccioni
6. Margaret Mitchell
7. Nazneen Rajani

In Statistics and Probability

1. Douwe Kiela
2. Yacine Jernite
3. Margaret Mitchell

In Information Theory

1. Douwe Kiela
2. Margaret Mitchell

Citations in the corpus

• Measuring Data (2022, background): “Widely used in Bayesian statistics, KL divergence is also useful in applications ranging from magnetic resonance imaging to analyses of protein and genome structures (Belov and Armstrong, 2011).”