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Text S1 - A Hierarchical Modeling Framework for Multiple Observer Transect Surveys

Figshare2015-12-02 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/A_Hierarchical_Modeling_Framework_for_Multiple_Observer_Transect_Surveys/121432 数据链接链接失效反馈

官方服务：

资源简介：

Posterior sampling algorithm for multiple observer transect analysis. (PDF)

应用场景：

创建时间：

2015-12-02

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

Robust inference on large-scale species habitat use with interview data: the status of jaguars outside protected areas in Central America

美洲虎栖息地评估

贝叶斯模型

Evaluating range-wide habitat use by a target species requires information on species occurrence over broad geographic regions, a process made difficult by species rarity, large spatiotemporal samplin

NIAID Data Ecosystem40

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