Figure S6 Sim-3x-Rate StarBEAST

Dryad2015-01-01 更新2026-04-13 收录

系统发育模拟

贝叶斯方法

数据链接：

http://datadryad.org/resource/doi:10.5061/dryad.b7156/9 数据链接链接失效反馈

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Figure S6. All 10 Sim-3x-Rate *BEAST subsets. Each species tree is based on analysis of a different subset of 50 simulated loci. Numbers at nodes denote Bayesian PPs.

创建时间：

2015-01-01

Synthetic likelihood in misspecified models

贝叶斯方法

模型误设

Bayesian synthetic likelihood is a widely used approach for conducting Bayesian analysis in complex models where evaluation of the likelihood is infeasible but simulation from the assumed model is tra

Taylor & Francis Group2024-06-24 更新40

the posterior estimates of regression parameters.

生存分析模型

贝叶斯方法

Bayesian symmetric regression offers a principled framework for modeling data characterized by heavy-tailed errors and censoring, both of which are frequently encountered in medical research. Classica

NIAID Data Ecosystem10

Use of Time Dependent Data in Bayesian Global 21cm Foreground and Signal Modelling (supplementary data)

21厘米宇宙学信号

贝叶斯方法

These are the posterior files, foreground simulation data sets and chromaticity factor values used to produce the results for arXiv:2210.04707. A plotting script to reproduce key figures is included.

Zenodo2023-07-07 更新00

Bayesian Function-on-Scalars Regression for High-Dimensional Data

贝叶斯方法

睡眠与活动监测

We develop a fully Bayesian framework for function-on-scalars regression with many predictors. The functional data response is modeled nonparametrically using unknown basis functions, which produces a

NIAID Data Ecosystem30

Benchmarks accompanying "Delphy: scalable, near-real-time Bayesian phylogenetics for outbreaks"

疫情系统发育分析

贝叶斯方法

Delphy paper data Datasets, scripts for analyzing them, and scripts to generate figures. Although these scripts were last successfully run in late 2025 to prepare, execute and analyze the Delphy and

Zenodo2025-12-11 更新00

Figure S6 Sim-3x-Rate StarBEAST

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