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Rejoinder: A Socio‐Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All‐Important

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  • Saikat Nandy
  • Scott H. Holan
  • Michael Schweinberger

Abstract

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Suggested Citation

  • Saikat Nandy & Scott H. Holan & Michael Schweinberger, 2025. "Rejoinder: A Socio‐Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All‐Important," International Statistical Review, International Statistical Institute, vol. 93(3), pages 380-384, December.
    • Handle: RePEc:bla:istatr:v:93:y:2025:i:3:p:380-384
    DOI: 10.1111/insr.70009
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    References listed on IDEAS

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    1. Jacopo Paglia & Jo Eidsvik & Juha Karvanen, 2022. "Efficient spatial designs using Hausdorff distances and Bayesian optimization," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1060-1084, September.
    2. John Hughes & Murali Haran, 2013. "Dimension reduction and alleviation of confounding for spatial generalized linear mixed models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(1), pages 139-159, January.
    3. Nowicki K. & Snijders T. A. B., 2001. "Estimation and Prediction for Stochastic Blockstructures," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1077-1087, September.
    4. Jonathan R. Bradley & Christopher K. Wikle & Scott H. Holan, 2017. "Regionalization of multiscale spatial processes by using a criterion for spatial aggregation error," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 815-832, June.
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