Dataset_S10

Dryad2016-01-01 更新2026-04-13 收录

数据链接：

http://datadryad.org/resource/doi:10.5061/dryad.t2m75/10 数据链接链接失效反馈

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资源简介：

Model-ranked results of Monte Carlo Markov chain coupled generalized linear mixed model statistics of models with a cumulative BIC-weight of at least 0.8

创建时间：

2016-01-01

Bayesian Model Selection for Exponential Random Graph Models via Adjusted Pseudolikelihoods

网络分析

贝叶斯模型

Models with intractable likelihood functions arise in areas including network analysis and spatial statistics, especially those involving Gibbs random fields. Posterior parameter estimation in these s

DataCite Commons2020-08-29 更新100

Log-evidence estimated by Laplace and referenced TI approximations.

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

Fitting models bayes factors and HPD95% related to RV-C45.

贝叶斯模型

病毒学参数估计

Fitting models bayes factors and HPD95% related to RV-C45.

Figshare2021-11-22 更新40

A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception

视觉感知历史偏差

贝叶斯模型

Perceptual decisions can be repelled away from (repulsive adaptation) or attracted towards recent visual experience (attractive serial dependence). It is currently unclear whether and how these repuls

DataCite Commons2024-05-13 更新90

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