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Parameter estimates and leave-one-out results.

NIAID Data Ecosystem2026-03-11 收录

高斯过程回归

统计模型验证

数据链接：

https://figshare.com/articles/dataset/Parameter_estimates_and_leave-one-out_results_/8169371 数据链接链接失效反馈

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资源简介：

Note: An upper bound of 10 for the Matérn-smoothness was used in the analysis.

应用场景：

创建时间：

2019-05-22

系统发育进化速率估计

统计模型验证

A recent pair of articles published in the journal Evolution presented a test for assessing the validity of hierarchical macroevolutionary models. The premise of the test is to compare numerical point

NIAID Data Ecosystem110

Five Degree-of-Freedom Grain Boundary Interpolation

晶界插值

高斯过程回归

These are larger MATLAB .mat files required for reproducing plots from the sgbaird-5DOF/interp repository for grain boundary property interpolation. gitID-0055bee_uuID-475a2dfd_paper-data6.mat contain

DataCite Commons2021-04-17 更新80

Supplemental Material for Mehta et al., 2019

群体遗传分化

统计模型验证

Figure S1 provides comparisons of observed FST to theoretical and null values of FST+, for both random SNP sets and SNP windows. Figure S2 displays the distribution of r^2 values from linear regressio

DataCite Commons2020-07-14 更新50

Privacy-Aware Gaussian Process Regression

隐私保护

高斯过程回归

We propose a novel theoretical and methodological framework for Gaussian process regression subject to privacy constraints. The proposed method can be used when a data owner is unwilling to share a hi

DataCite Commons2025-12-29 更新90

ANOVA results for the response surface quadratic model.

响应曲面分析

统计模型验证

1)Degrees of freedom.*Significant at a level of 0.05; **Significant at a level of 0.01.

Figshare2015-12-02 更新60