首页/数据集/Priors and posteriors distributions–Exogenous processes.

Priors and posteriors distributions–Exogenous processes.

NIAID Data Ecosystem2026-05-02 收录

贝叶斯推断

外生过程建模

数据链接：

https://figshare.com/articles/dataset/Priors_and_posteriors_distributions_Exogenous_processes_/26864153 数据链接链接失效反馈

官方服务：

资源简介：

Priors and posteriors distributions–Exogenous processes.

应用场景：

创建时间：

2024-08-28

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

classification1d.nc

逻辑回归

贝叶斯推断

A synthetic one dimensional logistic regression dataset with latent slope and intercept, passed into a Bernoulli random variable. One hundred data points, fit with PyMC3. True slope and intercept are

NIAID Data Ecosystem40

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

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

Priors and posteriors distributions–Exogenous processes.

资源简介：

相关数据集