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Posterior mean deviance of the six models considered.

NIAID Data Ecosystem2026-03-07 收录

贝叶斯模型

数据链接：

https://figshare.com/articles/dataset/_Posterior_mean_deviance_of_the_six_models_considered_/763024 数据链接链接失效反馈

官方服务：

资源简介：

(*) We were not able to fit the one-wave, N-saturating model.

应用场景：

创建时间：

2013-08-02

变量选择

贝叶斯模型

In the context of a Gaussian multiple regression model, we address the problem of variable selection when in the list of potential predictors there are factors, that is, categorical variables. We adop

DataCite Commons2021-04-20 更新180

The posterior probability results for the simulated data sets.

贝叶斯模型

统计模拟评估

The 1st column shows whether the smaller or larger priors were used; the 3rd column shows the number of times (out of 7000 data sets) the true (i.e., the data-generating) model had the highest posteri

NIAID Data Ecosystem90

Full model comparison.

贝叶斯模型

性能评估

Δ ELPD is the difference in expected log predictive density (ELPD) between each model and the winning model. SE Δ approximates the standard error of the difference between each model and the winning m

Figshare2020-09-08 更新70

Bayesian model selection: The steepest mountain to climb

贝叶斯模型

生态学

Capture-mark-recapture and individual body size data on the noble pen shell (Pinna nobilis) used to illustrate methods in the paper.

DataCite Commons2020-09-04 更新120

Training set WAIC scores for the three tested diseases and the three levels of model complexity.

疾病模型评估

贝叶斯模型

Training set WAIC scores for the three tested diseases and the three levels of model complexity.

NIAID Data Ecosystem80