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科学数据
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Data from: Bayesian long branch attraction bias and corrections
- 负责人：
- 摘要：
- Previous work on the star-tree paradox has shown that Bayesian methods suffer from a long branch attraction bias. That work is extended to settings
Data from: Bayesian methods for estimating GEBVs of threshold traits
- 负责人：
- 摘要：
- ee Bayesian methods BayesA, BayesB and BayesC? based on threshold model for estimating genomic breeding values of threshold traits, and the extended methods ar
Data from: Evaluating multilocus Bayesian species delimitation for discovery of cryptic mycorrhizal diversity
- 负责人：
- 摘要：
- admixture analysis, and (c) mtDNA variation. We implemented two coalescent-based Bayesian methods to determine which species hypothesis best fitted our data. Bot
Data from: Robustness of compound Dirichlet priors for Bayesian inference of branch lengths
- 负责人：
- 摘要：
- , and Yang (2012. Tail paradox, partial identifiability and influential priors in Bayesian branch length inference. Mol. Biol. Evol. 29:325-335.) as a solution
Data from: Recommendations for using msBayes to incorporate uncertainty in selecting an ABC model prior: a response to Oaks et al.
- 负责人：
- 摘要：
- Prior specification is an essential component of parameter estimation and model comparison in Approximate Bayesian computation (ABC). Oaks et al. pr
Data from: Implementing and testing Bayesian and Maximum likelihood supertree methods in phylogenetics
- 负责人：
- 摘要：
- inferred from phylogenomic scale data. Our results provide no evidence of size or shape biases and demonstrate that the Bayesian method is a via
Data from: The impact of variable degrees of freedom and scale parameters in Bayesian methods for genomic prediction in Chinese Simmental beef cattle
- 负责人：
- Li, Junya
- 摘要：
- Three conventional Bayesian approaches (BayesA, BayesB and BayesCπ) have been demonstrated to be powerful in predicting genomic merit
Data from: Bayesian phylogenetic analysis of combined data
- 负责人：
- 摘要：
- The recent development of Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) techniques has facilitated the exploration
Data from: Bayesian species delimitation can be robust to guide tree inference errors
- 负责人：
- 摘要：
- The Bayesian method of species delimitation (Yang and Rannala, 2010) uses a so-called guide tree to reduce the number of models to be evaluated
Data from: The evolutionary relationships and age of Homo naledi: an assessment using dated Bayesian phylogenetic methods
- 负责人：
- 摘要：
- ary tree?” and “How old is it?” We used a large supermatrix of craniodental characters for both early and late hominin species and Bayesian phylogenetic techniques
