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Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling

CITE Title : Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling Personal Author(s) : Johnson, Devin S.;Brost, Brian M.;Hooten, Mevin B.; Published Date : 2022 Source : Journal of Agricultural, Biological and Environmental Statistics, 27(2), 382-400 DOI : https://doi.org/10.1007/s13253-021-00485-9 Journal Title : Journal of Agricultural, Biological and Environmental Statistics Johnson, Devin S. et al. (2022). Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling. 27(2). https://doi.org/10.1007/s13253-021-00485-9 Johnson, Devin S. and Brost, Brian M. and Hooten, Mevin B. "Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling" 27, no. 2 (2022), https://doi.org/10.1007/s13253-021-00485-9 Johnson, Devin S. et al. "Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling" vol. 27, no. 2, 2022, https://doi.org/10.1007/s13253-021-00485-9 Export RIS Citation Information.

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Johnson, Devin S.

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Brost, Brian M.

2022 | Journal of Agricultural, Biological and Environmental Statistics, 27(2), 382-400

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We propose a multistage method for making inference at all levels of a Bayesian hierarchical model (BHM) using natural data partitions to increase eff...
Tourmaline: A containerized workflow for rapid and iterable amplicon sequence analysis using QIIME 2 and Snakemake

CITE Title : Tourmaline: A containerized workflow for rapid and iterable amplicon sequence analysis using QIIME 2 and Snakemake Personal Author(s) : Thompson, Luke R;Anderson, Sean R;Den Uyl, Paul A;Patin, Nastassia V;Lim, Shen Jean;Sanderson, Grant;Goodwin, Kelly D; Published Date : 2022 Series : CIGLR Contribution no. 1168 Source : GigaScience, 2022, 11, 1–12 DOI : https://doi.org/10.1093/gigascience/giac066 Journal Title : GigaScience Thompson, Luke R et al. (2022). Tourmaline: A containerized workflow for rapid and iterable amplicon sequence analysis using QIIME 2 and Snakemake. 11https://doi.org/10.1093/gigascience/giac066 Thompson, Luke R et al. "Tourmaline: A containerized workflow for rapid and iterable amplicon sequence analysis using QIIME 2 and Snakemake" 11 (2022), https://doi.org/10.1093/gigascience/giac066 Thompson, Luke R et al. "Tourmaline: A containerized workflow for rapid and iterable amplicon sequence analysis using QIIME 2 and Snakemake" vol. 11, 2022, https://doi.org/10.1093/gigascience/giac066 Export RIS Citation Information.

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Thompson, Luke R

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Anderson, Sean R

2022 | CIGLR Contribution no. 1168

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Amplicon sequencing (metabarcoding) is a common method to survey diversity of environmental communities whereby a single genetic locus is amplified an...
Global synthesis of sea turtle von Bertalanffy growth parameters through Bayesian hierarchical modeling

CITE Title : Global synthesis of sea turtle von Bertalanffy growth parameters through Bayesian hierarchical modeling Personal Author(s) : Ramirez, M.D.;Popovska, T.;Babcock, E.A.; Published Date : 2021 Source : Mar Ecol Prog Ser 657:191-207 DOI : https://doi.org/10.3354/meps13544 Journal Title : Marine Ecology Progress Series Ramirez, M.D. et al. (2021). Global synthesis of sea turtle von Bertalanffy growth parameters through Bayesian hierarchical modeling. 657https://doi.org/10.3354/meps13544 Ramirez, M.D. and Popovska, T. and Babcock, E.A. "Global synthesis of sea turtle von Bertalanffy growth parameters through Bayesian hierarchical modeling" 657 (2021), https://doi.org/10.3354/meps13544 Ramirez, M.D. et al. "Global synthesis of sea turtle von Bertalanffy growth parameters through Bayesian hierarchical modeling" vol. 657, 2021, https://doi.org/10.3354/meps13544 Export RIS Citation Information.

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Ramirez, M.D. ;

Popovska, T.

2021 | Mar Ecol Prog Ser 657:191-207

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Knowledge of sea turtle demographic rates is central to modeling their population dynamics, but few studies have quantitatively synthesized existing d...