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Ensuring identifiability in hierarchical mixed effects Bayesian models

Research article (Ecological Applications, 2020) · cited 50× · AI/ML
academia openalex:W3023377953
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Ensuring identifiability in hierarchical mixed effects Bayesian models

Summary

Ensuring identifiability in hierarchical mixed effects Bayesian models is a scholarly article[1].

Key Facts

  • Ensuring identifiability in hierarchical mixed effects Bayesian models's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Ensuring identifiability in hierarchical mixed effects Bayesian models. Retrieved May 24, 2026, from https://4ort.xyz/entity/ensuring-identifiability-in-hierarchical-mixed-effects-bayesian-models
MLA “Ensuring identifiability in hierarchical mixed effects Bayesian models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ensuring-identifiability-in-hierarchical-mixed-effects-bayesian-models.
BibTeX @misc{4ortxyz_ensuring-identifiability-in-hierarchical-mixed-effects-bayesian-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ensuring identifiability in hierarchical mixed effects Bayesian models}}, year = {2026}, url = {https://4ort.xyz/entity/ensuring-identifiability-in-hierarchical-mixed-effects-bayesian-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ensuring identifiability in hierarchical mixed effects Bayesian models — https://4ort.xyz/entity/ensuring-identifiability-in-hierarchical-mixed-effects-bayesian-models (retrieved 2026-05-24)

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