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SW and posterior probability calculations for each model variable.

NIAID Data Ecosystem2026-05-01 收录

数据链接：

https://figshare.com/articles/dataset/SW_and_posterior_probability_calculations_for_each_model_variable_/23631224 数据链接链接失效反馈

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资源简介：

SW and posterior probability calculations for each model variable.

应用场景：

创建时间：

2023-07-05

预测模型

贝叶斯统计

We present ensemble Bayesian model averaging (EBMA) and illustrate its ability to aid scholars in the social sciences to make more accurate forecasts of future events. In essence, EBMA improves predic

DataONE2015-04-11 更新110

Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy

贝叶斯统计

回归分析

Bayesian additive regression trees have seen increased interest in recent years due to their ability to combine machine learning techniques with principled uncertainty quantification. The Bayesian bac

DataCite Commons2024-05-15 更新60

Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors

贝叶斯统计

密度反卷积

We consider the problem of estimating the density of a random variable when precise measurements on the variable are not available, but replicated proxies contaminated with measurement error are avail

DataCite Commons2020-09-04 更新50

Testing Code for JcvPCA and JsvCRP.

主成分分析验证

生态统计模型

This file contains the code that implements both metrics in python and apply them on a simulated dataset. (ZIP)

Figshare2025-08-05 更新70

Supplement 1. WinBUGS code for modeling relative Cerulean Warbler abundance in the upper midwestern United States.

贝叶斯统计

生态学

File List Thogmartin_WinBUGS_code.txt - WinBUGS code Description The file "Thogmartin_WinBUGS_code.txt" contains code for fitting a hierarchical spatial count model. To execute the code, the text must

DataCite Commons2020-09-04 更新50

SW and posterior probability calculations for each model variable.

资源简介：

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