On Estimation for Spatial Generalized Linear Mixed Models using a Stationary Skew Gaussian Random Field

Author(s):

Fatemeh Hosseini* , Omid Karimi

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Spatial generalized linear mixed model is commonly used to model Non-Gaussian data and the spatial correlation of the data is modelled by latent variables. In this paper, latent variables are modeled using a stationary skew Gaussian random field and a new algorithm based on composite marginal likelihood is presented. The performance of this stationary random field in the model and the proposed algorithm is implemented in a simulation example.

Keywords:

Spatial generalized linear mixed model , stationary skew Gaussian random field , composite marginal likelihood

Language:
Persian
Published:
Andishe-ye Amari, Volume:27 Issue: 1, 2023
Pages:
73 to 79
https://www.magiran.com/p2548214  
سامانه نویسندگان
  • Hosseini، Fatemeh
    Corresponding Author (1)
    Hosseini, Fatemeh
    Assistant Professor statistics, Semnan University, سمنان, Iran
  • Karimi، Omid
    Author (2)
    Karimi, Omid
    Associate Professor Statistics, Semnan University, سمنان, Iran
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