3 citations · 7 across the 6 of their papers we have counts for
6 papers
Bayesian Prediction of Nitrate Concentration Using a Gaussian Log-Gaussian Spatial Model with Measurement Error in Explanatory Variables
Vahid Tadayon
This article has been removed by arXiv administrators due to falsified authorship.
Spatial modeling of particulate matters and emergency room visits
V. Tadayon
This article has been removed by arXiv administrators due to falsified authorship.
Health Effects Estimation Attributed to Particulate Matter
V. Tadayon
This article has been removed by arXiv administrators due to falsified authorship.
On an Extension of Stochastic Approximation EM Algorithm for Incomplete Data Problems
Vahid Tadayon
The Stochastic Approximation EM (SAEM) algorithm, a variant stochastic approximation of EM, is a versatile tool for inference in incomplete data models. In this paper, we review th…
Analysis of Gaussian Spatial Models with Covariate Measurement Error
Vahid Tadayon
Uncertainty is an inherent characteristic of biological and geospatial data which is almost made by measurement error in the observed values of the quantity of interest. Ignoring m…
Bayesian Analysis of Censored Spatial Data Based on a Non-Gaussian Model
Vahid Tadayon
In this paper, we suggest using a skew Gaussian-log Gaussian model for the analysis of spatial censored data from a Bayesian point of view. This approach furnishes an extension of…