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Effect of the choice of priors for the proposed SMC algorithm.

NIAID Data Ecosystem2026-03-10 收录

贝叶斯推断

顺序蒙特卡洛算法

数据链接：

https://figshare.com/articles/dataset/Effect_of_the_choice_of_priors_for_the_proposed_SMC_algorithm_/5516560 数据链接链接失效反馈

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Effect of the choice of priors for the proposed SMC algorithm.

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创建时间：

2017-10-20

贝叶斯推断

常微分方程

The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential equations (ODEs). Often these models have

DataCite Commons2020-08-25 更新100

Supplementary data from Sampaio Mayer et al.

系统发育学

贝叶斯推断

mcc contains the Maximum Clade Credibility tree, while posterior_sample contains the 100 random trees from the posterior sample.

NIAID Data Ecosystem80

Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models

贝叶斯推断

时间变化参数回归

In this article, we write the time-varying parameter (TVP) regression model involving K explanatory variables and T observations as a constant coefficient regression model with KT

DataCite Commons2021-11-30 更新40

caviomorh_phy_BJLS-2861.R1

系统发育

贝叶斯推断

Phylogenetic relationships among caviomorphs studied. Phylogenetic relationships were estimated through Bayesian inference methods implemented in BEAST v1.6.1. Sequences from the Growth Hormone Recept

DataONE2013-07-18 更新80

Code and simulation data for: A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect

神经科学

贝叶斯推断

Developed MATLAB code and simulation data for the Mozart effect study. The code requires the Bayesian topology identification code and the MVGC toolbox to run (see references).

DataCite Commons2025-04-01 更新50

Effect of the choice of priors for the proposed SMC algorithm.

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