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e_mail |
date |
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chapter |
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topic |
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Thomas J. Faulkenberry |
Tarleton State University |
faulkenberry@tarleton.edu |
2020-09-02 05:00:00 -0700 |
Encompassing model |
Model Selection |
Bayesian model selection |
Bayes factor |
Encompassing model |
authors |
year |
title |
in |
pages |
url |
doi |
Klugkist, I., Kato, B., and Hoijtink, H. |
2005 |
Bayesian model selection using encompassing priors |
Statistica Neerlandica |
vol. 59, no. 1, pp. 57-69 |
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10.1111/j.1467-9574.2005.00279.x |
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D93 |
encm |
tomfaulkenberry |
Definition: Consider a family $f$ of generative models $m$ on data $y$, where each $m \in f$ is defined by placing an inequality constraint on model parameter(s) $\theta$ (e.g., $m:\theta>0$). Then the encompassing model $m_e$ is constructed such that each $m$ is nested within $m_e$ and all inequality constraints on the parameter(s) $\theta$ are removed.