Search Results - "Kamary, Kaniav"

Inequality restricted estimator for gamma regression: Bayesian approach as a solution to the multicollinearity by Seifollahi, Solmaz, Bevrani, Hossein, Kamary, Kaniav

“…In this article, we consider the multicollinearity problem in the gamma regression model when model parameters are bounded linearly restricted. The linear…”
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Life years lost by childhood cancer treatment and health related late effects among childhood cancer survivors by Charrier, Thibaud, Haddy, Nadia, Fresneau, Brice, Schwartz, Boris, Journy, Neige, Demoor-Goldschmidt, Charlotte, Diallo, Ibrahima, Aerts, Isabelle, Doz, François, Souchard, Vincent, Vu-Bezin, Giao, Laprie, Anne, Lemler, Sarah, Letort, Véronique, Rubino, Carole, Kamary, Kaniav, Aba, Naïla Myriam, Ducos, Claire, Locquet, Médéa, Vathaire, Florent de, Allodji, Rodrigue S., Latouche, Aurélien

“…Identifying risk factors contributing the most to mortality of childhood cancer survivors is essential to guide harm reduction efforts in childhood cancer…”
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Weakly Informative Reparameterizations for Location-Scale Mixtures by Kamary, Kaniav, Lee, Jeong Eun, Robert, Christian P.

“…While mixtures of Gaussian distributions have been studied for more than a century, the construction of a reference Bayesian analysis of those models remains…”
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Inequality Restricted Estimator for Gamma Regression: Bayesian approach as a solution to the Multicollinearity by Seifollahi, Solmaz, Bevrani, Hossein, Kamary, Kaniav

“…In this paper, we consider the multicollinearity problem in the gamma regression model when model parameters are linearly restricted. The linear restrictions…”
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Bayesian Estimation Approach for Linear Regression Models with Linear Inequality Restrictions by Seifollahi, Solmaz, Kamary, Kaniav, Bevrani, Hossein

“…Univariate and multivariate general linear regression models, subject to linear inequality constraints, arise in many scientific applications. The linear…”
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Bayesian model averaging via mixture model estimation by Keller, Merlin, Kamary, Kaniav

“…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…”
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Computer code validation via mixture model estimation by Kamary, Kaniav, Keller, Merlin, Barbillon, Pierre, Gœury, Cédric, Parent, Éric

“…When computer codes are used for modeling complex physical systems, their unknown parameters are tuned by calibration techniques. A discrepancy function may be…”
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Reflecting about Selecting Noninformative Priors by Kamary, Kaniav, Robert, Christian P

“…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…”
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Computational Solutions for Bayesian Inference in Mixture Models by Celeux, Gilles, Kamary, Kaniav, Malsiner-Walli, Gertraud, Marin, Jean-Michel, Robert, Christian P

“…This chapter surveys the most standard Monte Carlo methods available for simulating from a posterior distribution associated with a mixture and conducts some…”
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Bayesian estimation of discrete Burr distribution with two parameters by Kamari, Halaleh, Bevrani, Hossein, Kamary, Kaniav

“…So far, various techniques have been implemented for generating discrete distributions based on continuous distributions. The characteristics and properties of…”
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Weakly informative reparameterisations for location-scale mixtures by Kamary, Kaniav, Lee, Jeong Eun, Robert, Christian P

“…While mixtures of Gaussian distributions have been studied for more than a century (Pearson, 1894), the construction of a reference Bayesian analysis of those…”
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Testing hypotheses via a mixture estimation model by Kamary, Kaniav, Mengersen, Kerrie, Robert, Christian P, Rousseau, Judith

“…We consider a novel paradigm for Bayesian testing of hypotheses and Bayesian model comparison. Our alternative to the traditional construction of posterior…”
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