Michal, V., Schmidt, A. M., Freitas, L. P., & Cruz, O. G. (2025). A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects. Statistical Methods in Medical Research, 34(2), 307. https://doi.org/10.1177/09622802241293776
Chicago Style (17th ed.) CitationMichal, Victoire, Alexandra M. Schmidt, Laís Picinini Freitas, and Oswaldo Gonçalves Cruz. "A Bayesian Hierarchical Model for Disease Mapping That Accounts for Scaling and Heavy-tailed Latent Effects." Statistical Methods in Medical Research 34, no. 2 (2025): 307. https://doi.org/10.1177/09622802241293776.
MLA (9th ed.) CitationMichal, Victoire, et al. "A Bayesian Hierarchical Model for Disease Mapping That Accounts for Scaling and Heavy-tailed Latent Effects." Statistical Methods in Medical Research, vol. 34, no. 2, 2025, p. 307, https://doi.org/10.1177/09622802241293776.