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deviance information criterion

deviance information criterion Deviance information criterion is a statistical measure used in Bayesian modeling to evaluate how well a model fits the data and to compare candidate models so the best-fitting one can be chosen.

Deviance information criterion is a statistical measure used in Bayesian modeling to evaluate how well a model fits the data and to compare candidate models so the best-fitting one can be chosen.

Also see

Sources

Drafting source: Wang Ming; Li Zheng; Lu Jun; Zhang Lijun; Li Yimei; Zhang Liangliang. Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data. 2024; DOI 10.1186/s12874-024-02201-w; article XML SHA-256 603c8d940e9a7f50df6124da1fd0a7181876b70b2c1707bb551958dfa1a54c87. “Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data” (10.1186/s12874-024-02201-w).
CC-BY-4.0 · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: 603c8d940e9a7f50df6124da1fd0a7181876b70b2c1707bb551958dfa1a54c87

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PsychTerms (psychterms.org), CC BY 4.0, version 2. “deviance information criterion.” Development preview.

Version 2 · SHA-256: e411146274566e30a43cc0bd3465ee5c1cd162ed26e90911763ecdb1e5ff3130

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