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Replication data for: Prior Selection for Vector Autoregressions

NIAID Data Ecosystem2026-05-02 收录

贝叶斯方法

宏观计量模型

数据链接：

https://doi.org/10.7910/DVN/27345 数据链接链接失效反馈

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资源简介：

Giannone, Domenico, Lenza, Michele, and Primiceri, Giorgio E., (2015) "Prior Selection for Vector Autoregressions." Review of Economics and Statistics 97:2, 436-451.

应用场景：

创建时间：

2025-05-29

贝叶斯方法

耳鸣治疗分析

Purpose: This article presents a basic exploration of Bayesian inference to inform researchers unfamiliar to this type of analysis of the many advantages this readily available approach provide

DataCite Commons2020-08-27 更新70

Bayesian time-resolved spectra of Fermi GBM pulses

伽马射线暴光谱

贝叶斯方法

VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Bayesian time-resolved spectroscopy of GRB pulses.' (bibcode: 2019ApJ...886...20Y)

DataCite Commons2022-10-31 更新60

Additional file 10 of A Bayesian non-inferiority approach using experts’ margin elicitation – application to the monitoring of safety events

医疗安全监测

贝叶斯方法

Example of the code to simulate the results for one event (neonatal death): In the part A, it fit margins from experts’ elicitation, using a fictive data set of experts’ answers (E1). In the part B, i

NIAID Data Ecosystem40

OxCal codes for the Bayesian modelling of the individual AITI_119 followed by AITI_87.

放射性碳测年

贝叶斯方法

The codes are labeled according to the sheets in S8 Table (13–16) The interval (5 ± 5 years) is based on observations in Fig 22. (TXT)

NIAID Data Ecosystem60

Dynamically Updated Spatially Varying Parameterizations of Hierarchical Bayesian Models for Spatial Data

贝叶斯方法

环境监测

Fitting hierarchical Bayesian models to spatially correlated datasets using Markov chain Monte Carlo (MCMC) techniques is computationally expensive. Complicated covariance structures of the underlying

NIAID Data Ecosystem40

Replication data for: Prior Selection for Vector Autoregressions

资源简介：

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