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Bayesian Analysis of the Beta Regression Model Subject to Linear Inequality Restrictions with Application
Solmaz Seifollahi, Hossein Bevrani, Kristofer Mansson
ReRecent studies in machine learning are based on models in which parameters or state variables are bounded restricted. These restrictions are from prior information to ensure the…
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…