官方服务：
资源简介：
Bayesian inference of pairwise GSTs
应用场景：
创建时间：
2016-06-16
相关数据集
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
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.
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 rep
NIAID Data Ecosystem00
Results for the posterior properties of the SW-PH, SL-PH, SG-PH and SEE-PH models using dataset II.
Results for the posterior properties of the SW-PH, SL-PH, SG-PH and SEE-PH models using dataset II.
NIAID Data Ecosystem00
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
drav_cov_est_ucln_yule.xml from A Bayesian phylogenetic study of the Dravidian language family
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
