44 citations · 71 across the 16 of their papers we have counts for
5 papers · 1 filter
Liu-type Shrinkage Estimators for Mixture of Poisson Regressions with Experts: A Heart Disease Study
Elsayed Ghanem, Moein Yoosefi, Armin Hatefi
Count data play a critical role in medical research, such as heart disease. The Poisson regression model is a common technique for evaluating the impact of a set of covariates on t…
Sequential Monte Carlo with Cross-validated Neural Networks for Complexity of Hyperbolic Black Hole Solutions in 4D
Armin Hatefi, Ehsan Hatefi
This paper investigates the self-similar solutions of the Einstein-axion-dilaton configuration from type IIB string theory and the global SL(2,R) symmetry. We consider the Continuo…
Modeling the complexity of Elliptic Black Hole Solution In 4D Using Hamiltonian Monte Carlo with Stacked Neural Networks
Armin Hatefi, Ehsan Hatefi, Roberto J. López-Sastre
In this paper, we study the black hole solution of self-similar gravitational collapse in the Einstein-axion-dilaton system for the elliptic class in four dimensions. The solution…
Bayesian Mixture Modelling with Ranked Set Samples
Amirhossein Alvandi, Sedigheh Omidvar, Armin Hatefi +3
We consider the Bayesian estimation of the parameters of a finite mixture model from independent order statistics arising from imperfect ranked set sampling designs. As a cost-effe…
Analysis of Black Hole Solutions in Parabolic Class Using Neural Networks
Ehsan Hatefi, Armin Hatefi, Roberto J. López-Sastre
In this paper, we introduce a numerical method based on Artificial Neural Networks (ANNs) for the analysis of black hole solutions to the Einstein-axion-dilaton system in a high di…