The Kotz-type distribution with applications

By Saralees Nadarajah. 2003

92 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7ac7e6fd72c0145112918526ef0703103e801e9c

How researchers see this paper

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

In Artificial Intelligence

1. I. Castillo
2. Kolyan Ray
3. Richard Nickl
4. Judith Rousseau
5. A. van der Vaart
6. Botond Szab'o
7. Stéphanie van der Pas
8. Subhashis Ghosal

In Statistics and Probability

1. I. Castillo
2. Kolyan Ray
3. Judith Rousseau
4. Richard Nickl
5. A. van der Vaart
6. Subhashis Ghosal
7. Botond Szab'o
8. Stéphanie van der Pas

Citations in the corpus

• On Bayesian supremum norm contraction rates (2013, methodology): “Possible choices for ϕ cover several commonly used classes of prior distributions, such as so-called exponential power (EP) distributions, see e.g. Choy and Smith [8], Walker and Gutiérrez-Peña [39] and references therein, as well as some of the univariate Kotz-type distibutions, see e.g. Nadaraja”