Variable selection for spatial logistic autoregressive models

HIGHLIGHTS

  • who: Jiaxuan Liang et al. from the School of Science, China University of Petroleum, Qingdao, China have published the research: Variable Selection for Spatial Logistic Autoregressive Models, in the Journal: Mathematics 2022, 10, 3095. of /2022/
  • what: For the highdimensional spatial logistic autoregressive model in this paper the authors propose a variable selection method with for the spatial logistic model. The main focus of the existing spatial econometrics literature is the statistical inference of the spatial mean regression model whose dependent variable is continuous, which only reflects the location information of the conditional distribution of . . .

     

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