Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions

Research article (Behavior Research Methods, 2017) · cited 11× · AI/ML
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Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions

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Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-when-people-quit-bayesian-censored-geometric-models-with-hierarchical-and-latent-mixture-extensions
MLA “Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-when-people-quit-bayesian-censored-geometric-models-with-hierarchical-and-latent-mixture-extensions.
BibTeX @misc{4ortxyz_modeling-when-people-quit-bayesian-censored-geometric-models-with-hierarchical-and-latent-mixture-extensions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-when-people-quit-bayesian-censored-geometric-models-with-hierarchical-and-latent-mixture-extensions}, note = {Accessed: 2026-05-24}}
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