Posterior estimates of spatial parameters.

Figshare2015-12-02 更新2026-04-29 收录

空间统计

贝叶斯估计

数据链接：

https://figshare.com/articles/dataset/_Posterior_estimates_of_spatial_parameters_/528797 数据链接链接失效反馈

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资源简介：

aCredible intervals.bBased on the decay parameter , the range parameter (in km) is calculated.

创建时间：

2015-12-02

S2. Fitting model candidates to high-fidelity D 1j datasets from Anchoring the mean generation time in the SEIR to mitigate biases in ℜ 0 estimates due to uncertainty in the distribution of the epidemiological delays

传染病动力学模型

贝叶斯估计

This appendix illustrates the process of fitting various parameterisations of the SE1IjR model (M1j) to high-fidelity D1j incidence reports. We mean by parameterisation the decision of categorising mo

NIAID Data Ecosystem60

Best GLS models for different response variables vs elevation.

海拔梯度分析

空间统计

Best GLS models for different response variables vs elevation.

Figshare2021-07-01 更新40

Rural Urban Classification (2011) map of the OAs in Wales

城乡分类体系

空间统计

A PDF map showing the Rural Urban Classification (2011) of the OAs in Wales. (File Size - 2 MB)

data.europa30

Boundary Detection Using a Bayesian Hierarchical Model for Multiscale Spatial Data

空间统计

边界检测

Spatial boundary analysis has attained considerable attention in several disciplines including engineering, shape analysis, spatial statistics, and computer science. The inferential question of intere

DataCite Commons2020-08-26 更新60

Mean parameter estimates, standard deviation (SD), Monte Carlo error (MC error), odds ratios (OR), and 95% credible intervals for best-fitting model investigating the effect of covariates on the probability of bovine tuberculosis infection from 2005–2010 in Modified Accredited Zone in Michigan, USA.

牛结核病风险因素分析

贝叶斯估计

“HET” represents the random effect capturing region-wide.

NIAID Data Ecosystem30