Relation between parameter uncertainties and posterior probability calculations.

Figshare2015-12-03 更新2026-04-29 收录

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Relation between parameter uncertainties and posterior probability calculations.

创建时间：

2015-12-03

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

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

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.

贝叶斯推断

实验设计分析

NIAID Data Ecosystem00

Data from: Bayesian inference of selection in a heterogeneous environment from genetic time-series data

遗传学

贝叶斯推断

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

Ord_TJ_EVOL_16-0165R2_BIphylogeny_posteriordistribution

贝叶斯推断

系统发育学

Entire posterior distribution (minus burn-in) used to create Bayesian inference consensus tree

DataONE2016-06-01 更新30