Bayesian Goodness of Fit Testing with Mixtures of Triangular Distributions
By Ross McVinish, Judith Rousseau, Kerrie L. Mengersen. 2009
49 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c5acc179c0d5c3ea868b8b2a9f34ffc3d294303a
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
- Christian P. Robert
- Christopher C. Holmes
- Judith Rousseau
- Kerrie L. Mengersen
- David A. Stephens
- Jim E. Griffin
- K. Kamary
- F. Caron
In Statistics and Probability
- Christian P. Robert
- Christopher C. Holmes
- Judith Rousseau
- Kerrie L. Mengersen
- David A. Stephens
- Jim E. Griffin
- K. Kamary
- F. Caron
Citations in the corpus
- Two-sample Bayesian Nonparametric Hypothesis Testing (2009, methodology): “Goodness of fit testing using mixtures of triangular distributions is considered by McVinish et al. (2009).”
- Testing hypotheses via a mixture estimation model (2014, background): “This occurs despite the existence of an overall consistency proof for the Bayes factor (Berger et al., 2003; Rousseau, 2007; McVinish et al., 2009).”