1 citations · 2 across the 5 of their papers we have counts for
5 papers
Shrinkage estimators in zero-inflated Bell regression model with application
Solmaz Seifollahi, Hossein Bevrani, Zakariya Yahya Algamal
We propose Stein-type estimators for zero-inflated Bell regression models by incorporating information on model parameters. These estimators combine the advantages of unrestricted…
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…
Improved estimators in Bell regression model with application
Solmaz Seifollahi, Hossein Bevrani, Zakariya Yahya Algamal
In this paper, we propose the application of shrinkage strategies to estimate coefficients in the Bell regression models when prior information about the coefficients is available.…
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…