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Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-hh random fields estimation

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  • Caamaño-Carrillo, Christian
  • Bevilacqua, Moreno
  • López, Cristian
  • Morales-Oñate, Víctor

Abstract

A highly scalable method for (non-)Gaussian random fields estimation is proposed. In particular, a novel (a) symmetric weight function based on nearest neighbors for the method of maximum weighted composite likelihood based on pairs (WCLP) is studied.

Suggested Citation

  • Caamaño-Carrillo, Christian & Bevilacqua, Moreno & López, Cristian & Morales-Oñate, Víctor, 2024. "Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-hh random fields estimation," Computational Statistics & Data Analysis, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:csdana:v:191:y:2024:i:c:s0167947323001986
    DOI: 10.1016/j.csda.2023.107887
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    References listed on IDEAS

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