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资源简介：
New set of running scripts for MCMCing using Nautilus as a sampler.
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创建时间：
2024-06-17
相关数据集
fig 4 from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models
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
Data from: Bayesian inference of selection in a heterogeneous environment from genetic time-series data
Evolutionary geneticists have sought to characterize the causes and molecular targets of selection in natural populations for many years. Although this research program has been somewhat successful, m
DataONE2015-07-16 更新60
Sir data from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models
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
NIAID Data Ecosystem30
Supplementary data from Sampaio Mayer et al.
mcc contains the Maximum Clade Credibility tree, while posterior_sample contains the 100 random trees from the posterior sample.
NIAID Data Ecosystem80
Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation
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
