18 citations · 51 across the 12 of their papers we have counts for
7 papers · 1 filter
A Bayesian Semiparametric Gaussian Copula Approach to a Multivariate Normality Test
Luai Al-Labadi, Forough Fazeli Asl, Zahra Saberi
In this paper, a Bayesian semiparametric copula approach is used to model the underlying multivariate distribution . First, the Dirichlet process is constructed on the un…
Measuring Bayesian Robustness Using Rényi Divergence
Luai Al-Labadi, Ce Wang
This paper deals with measuring the Bayesian robustness of classes of contaminated priors. Two different classes of priors in the neighborhood of the elicited prior are considered.…
A Bayesian Nonparametric Test for Assessing Multivariate Normality
Luai Al-Labadi, Forough Fazeli Asl, Zahra Saberi
In this paper, a novel Bayesian nonparametric test for assessing multivariate normal models is presented. While there are extensive frequentist and graphical methods for testing mu…
Kullback-Leibler Divergence for Bayesian Nonparametric Model Checking
Luai Al-Labadi, Viskakh Patel, Kasra Vakiloroayaei +1
Bayesian nonparametric statistics is an area of considerable research interest. While recently there has been an extensive concentration in developing Bayesian nonparametric proced…
On one-sample Bayesian tests for the mean
Ibrahim Abdelrazeq, Luai Al-Labadi
This paper deals with a new Bayesian approach to the standard one-sample - and - tests. More specifically, let be an independent random sample from a normal…
A Bayesian Nonparametric Estimation to Entropy
Luai Al-Labadi, Viskakh Patel, Kasra Vakiloroayaei +1
A Bayesian nonparametric estimator to entropy is proposed. The derivation of the new estimator relies on using the Dirichlet process and adapting the well-known frequentist estimat…
Using prior expansions for prior-data conflict checking
David J. Nott, Max Seah, Luai Al-Labadi +3
Any Bayesian analysis involves combining information represented through different model components, and when different sources of information are in conflict it is important to de…