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Estimated DIC values for each model.

Figshare2025-02-07 更新2026-04-28 收录

物种分布评估

贝叶斯模型

数据链接：

https://figshare.com/articles/dataset/Estimated_DIC_values_for_each_model_/28372247 数据链接链接失效反馈

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资源简介：

The survey and presence-only (PO) values for the joint model represent the local DIC, which is the DIC value for each dataset in the model.

应用场景：

创建时间：

2025-02-07

贝叶斯模型

对数证据估计

In each section, model with the highest log-evidence estimated by Laplace or referenced TI method is indicated in bold. The credible intervals for log-evidence comes from calculating the quantiles of

Figshare2023-08-14 更新50

Posterior probabilities for different models (2 factors with their interaction) under the three environmental scenarios from the GESTE analysis.

环境遗传学

贝叶斯模型

Posterior probabilities for different models (2 factors with their interaction) under the three environmental scenarios from the GESTE analysis.

Figshare2015-12-02 更新40

Model Mixing Using Bayesian Additive Regression Trees

贝叶斯模型

核物理模拟器优化

In modern computer experiment applications, one often encounters the situation where various models of a physical system are considered, each implemented as a simulator on a computer. An important que

NIAID Data Ecosystem20

Plotting receiver operating characteristic and precision-recall curves from presence and background data

物种分布评估

ROC/PR曲线校准

The receiver operating characteristic (ROC) and precision-recall (PR) plots have been widely used to evaluate the performances of species distribution models. Plotting the ROC/PR curves requires a

NIAID Data Ecosystem50

Input data for Bayesian and information theoretic model selection and similarity analysis

贝叶斯模型

信息论模型

This data serves as input to the codes found in the following repository https://github.com/MariaFMoralesOreamuno/Bayesian_Information_theoretic_model_selection.git

NIAID Data Ecosystem30

Estimated DIC values for each model.

资源简介：

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