5 papers
Statistical tuning of artificial neural network
Mohamad Yamen AL Mohamad, Hossein Bevrani, Ali Akbar Haydari
Neural networks are often regarded as "black boxes" due to their complex functions and numerous parameters, which poses significant challenges for interpretability. This study addr…
Bayesian Bell regression model for fitting of overdispersed count data with application
Ameer Musa Imran Alhseeni, Hossein Bevrani
The Bell regression model (BRM) is a statistical model that is often used in the analysis of count data that exhibits overdispersion. In this study, we propose a Bayesian analysis…
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…
Comparative analysis of two new wind speed T-X models using Weibull and log-logistic distributions for wind energy potential estimation in Tabriz, Iran
Meysam Mohammadpour, Hossein Bevrani
To assess the potential of wind energy in a specific area, statistical distribution functions are commonly used to characterize wind speed distributions. The selection of an approp…
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…