54 citations · 66 across the 9 of their papers we have counts for
11 papers
Computer code validation via mixture model estimation
Negar Soleimani, Pierre Barbillon, Kaniav Kamary +1
When computer codes model complex physical systems, calibration alone is insufficient; one must also assess whether a discrepancy term is needed. In this paper, we study computer c…
Approximating evidence via bounded harmonic means
Dana Naderi, Christian P Robert, Kaniav Kamary +1
Efficient Bayesian model selection relies on the model evidence or marginal likelihood, whose computation often requires evaluating an intractable integral. The harmonic mean estim…
Inequality Restricted Estimator for Gamma Regression: Bayesian approach as a solution to the Multicollinearity
Solmaz Seifollahi, Hossein Bevrani, Kaniav Kamary
In this paper, we consider the multicollinearity problem in the gamma regression model when model parameters are linearly restricted. The linear restrictions are available from pri…
Bayesian Estimation Approach for Linear Regression Models with Linear Inequality Restrictions
Solmaz Seifollahi, Kaniav Kamary, Hossein Bevrani
Univariate and multivariate general linear regression models, subject to linear inequality constraints, arise in many scientific applications. The linear inequality restrictions on…
Computer code validation via mixture model estimation
Kaniav Kamary, Merlin Keller, Pierre Barbillon +2
When computer codes are used for modeling complex physical systems, their unknown parameters are tuned by calibration techniques. A discrepancy function may be added to the compute…
Computational Solutions for Bayesian Inference in Mixture Models
Gilles Celeux, Kaniav Kamary, Gertraud Malsiner-Walli +2
This chapter surveys the most standard Monte Carlo methods available for simulating from a posterior distribution associated with a mixture and conducts some experiments about the…
Bayesian model averaging via mixture model estimation
Merlin Keller, Kaniav Kamary
A new approach for Bayesian model averaging (BMA) and selection is proposed, based on the mixture model approach for hypothesis testing in Kaniav et al., 2014. Inheriting from the…
Weakly informative reparameterisations for location-scale mixtures
Kaniav Kamary, Jeong Eun Lee, Christian P. Robert
While mixtures of Gaussian distributions have been studied for more than a century (Pearson, 1894), the construction of a reference Bayesian analysis of those models still remains…
Bayesian estimation of discrete Burr distribution with two parameters
Halaleh Kamari, Hossein Bevrani, Kaniav Kamary
So far, various techniques have been implemented for generating discrete distributions based on continuous distributions. The characteristics and properties of this kind of probabi…
Testing hypotheses via a mixture estimation model
Kaniav Kamary, Kerrie Mengersen, Christian P. Robert +1
We consider a novel paradigm for Bayesian testing of hypotheses and Bayesian model comparison. Our alternative to the traditional construction of posterior probabilities that a giv…
Reflecting about Selecting Noninformative Priors
Kaniav Kamary, Christian P. Robert
Following the critical review of Seaman et al. (2012), we reflect on what is presumably the most essential aspect of Bayesian statistics, namely the selection of a prior density. I…