Bayesian Inference for Skew-normal Linear Mixed Models

By Reinaldo Boris Arellano-Valle, Heleno Bolfarine, Victor Hugo Lachos. 2007

147 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a792cb47239264092ef686b0e20492e17fd0a897

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. Marc G. Genton
2. Hector Wladimir Gomez
3. Reinaldo Boris Arellano-Valle
4. Luis Mauricio Castro
5. Min Liu
6. Tsung-I Lin

In Statistics and Probability

1. Reinaldo Boris Arellano-Valle
2. Marc G. Genton
3. Hector Wladimir Gomez
4. Luis Mauricio Castro
5. Adelchi Azzalini
6. Victor Hugo Lachos
7. Yulia V. Marchenko
8. Heleno Bolfarine

Citations in the corpus

• Bayesian inference for shape mixtures of skewed distributions, with application to regression analysis (2008, methodology): “A random vector Z with pdf (1) and skewing function (2) is denoted by Z ∼ SSn(f,G,α).”