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Data from: Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography
- 负责人：
- DOI：
- doi:10.5061/dryad.7jr85rj
- 摘要：
- formed posterior analyses for each scenario, including: (a) virus persistence, (b) migration rates, (c) trunk rewards, and (d) the posterior probability of the ro
Data from: Assessing parameter identifiability in phylogenetic models using Data Cloning
- 负责人：
- DOI：
- doi:10.5061/dryad.rr6400b4
- 摘要：
- ty while investigating complex modeling scenarios, where getting closed-form expressions in a probabilistic study is complicated. Furthermore, here we also show how DC
Data from: ClonEstiMate, a Bayesian method for quantifying rates of clonality of populations genotyped at two-time steps
- 负责人：
- DOI：
- doi:10.5061/dryad.32qh8
- 摘要：
- grating reproductive modes. Our model provides posterior probability distribution of inferred c, given the assumed rates of mutation, as well as inbreeding and selfing
Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach
- 负责人：
- DOI：
- doi:10.5061/dryad.f8669
- 摘要：
- ny inferential advantages,including the ability to incorporate prior information and perform exact inference with small samples.More importantly,themodel-based appro
Data from: A rapid and scalable method for multilocus species delimitation using Bayesian model comparison and rooted triplets
- 负责人：
- DOI：
- doi:10.5061/dryad.3cb25
- 摘要：
- by the multispecies coalescent. A Bayesian model comparison framework was developed and the best delimitation found by comparing the product of posterior probabilities of al
Data from: Bayes factors unmask highly variable information content, bias, and extreme influence in phylogenomic analyses
- 负责人：
- DOI：
- doi:10.5061/dryad.8gm85
- 摘要：
- h as Markov chain Monte Carlo estimates of posterior probabilities). Bayes factors reveal important, previously hidden, differences across six “phylogenomic” data sets collecte
Data from: Modern pollen from small hollows reflects Athrotaxis cupressoides density across a wildfire gradient in subalpine forests of the Central
- 负责人：
- DOI：
- doi:10.5061/dryad.1bp06
- 摘要：
- methods to classify samples with unknown group assignments. The posterior probability of assigned group membership ranged from 0.85 to 0.99, demonstrating
Data from: Full Bayesian comparative phylogeography from genomic data
- 负责人：
- DOI：
- doi:10.5061/dryad.4b3j2bj
- 摘要：
- constant characters allows the new method to robustly estimate the correct number of divergence events with high posterior probability in the fac
Data from: Accurate inference of tree topologies from multiple sequence alignments using deep learning
- 负责人：
- DOI：
- doi:10.5061/dryad.ct2895s
- 摘要：
- e accurately assess support for the chosen topology than bootstrap and posterior probability scores from traditional methods. While numerous practical challenges
Data from: Probabilistic methods surpass parsimony when assessing clade support in phylogenetic analyses of discrete morphological data
- 负责人：
- DOI：
- doi:10.5061/dryad.8dd39
- 摘要：
- yesian posterior probabilities, collapsing branches that exhibit less than 50% support. Ignoring node support, Bayesian inference is the most accurate method in estimating
