Latent Spatial Variable Models

Latent Spatial Variable Models is a statistical modeling framework that belongs to the class of spatial process models, distinguished by its incorporation of unobserved (latent) spatially structured variables to account for underlying spatial dependencies and heterogeneity in observed data.

46

Publications

2.6K

Citations

120

Authors

73

Institutions

Publications per year

2017–2026

10

Authors

120

  1. DB
    Dipankar Bandyopadhyay

    Medical University of South Carolina, United States

    3 publications · 77 citations

    3

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  2. CK
    Christopher K. Wikle

    University of Missouri, United States

    2 publications · 66 citations

    2

    h-index

  3. SB
    Sudipto Banerjee

    University of Minnesota, United States

    2 publications · 94 citations

    2

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  4. SS
    Steven Shoptaw

    University of California, Los Angeles, United States

    2 publications · 33 citations

    2

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  5. DA
    Daniel A. Griffith

    The University of Texas at Dallas, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 120

Venues

  1. 3

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  2. 2

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  3. 2

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  4. Experimental and Clinical Psychopharmacology

    2 publications · 33 citations

    2

    h-index

  5. Methods in Ecology and Evolution

    2 publications · 421 citations

    2

    h-index

1–5