Stochastic Agent-Based Simulation with Bayesian Ca

kaggle2025-09-07 更新2025-10-25 收录

传染病模型

贝叶斯推断

数据链接：

https://www.kaggle.com/datasets/freederiaresearch/stochastic-agent-based-simulation-with-bayesian-ca 数据链接链接失效反馈

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资源简介：

**Abstract:** Traditional epidemiological models often struggle with representin

**摘要：** 传统流行病学模型（epidemiological models）往往难以表征（原文语句未完整）

创建时间：

2025-09-07

fig 4 from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models

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

Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation

统计建模

贝叶斯推断

Latent autoregressive processes are a popular choice to model time varying parameters. These models can be formulated as nonlinear state space models for which inference is not straightforward due to

DataCite Commons2021-09-29 更新60

drav_cov_est_ucln_yule.xml from A Bayesian phylogenetic study of the Dravidian language family

语言系统发育

贝叶斯推断

BEAST 2 xml file that was used for the best-supported analysis, relaxed covarion model with relative mutation rates estimated.

The Royal Society Figshare2020-10-16 更新00

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

Posterior probability distributions (in percentages) of all 70 possible sets of the making of eight cups of tea that would all be correctly identified under three prior distribution scenarios: Pr3 represents the uniform prior distribution of three possible ability levels 0.5, 0.75, 1; Pr2 represents the uniform prior distribution of binary ability levels 0.5 or 1; Pr2a represents the uniform prior distribution of binary ability levels 0.5 or 0.75 where 0.5 means a pure guessing; 0.75 means 75% of the time the making of the tea will be correctly identified and 1 means the identification will be 100% correct.