dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到507条 ,权限内显示50条;

Data from: Probabilistic methods outperform parsimony in the phylogenetic analysis of data simulated without a probabilistic model
负责人:
关键词:
Likelihood;morphology;parsimony;Simulation;Bayesian;phylogenetics
DOI:
doi:10.5061/dryad.h8r2629
摘要:
shared branch lengths for characters, as it is claimed this leads to bias favouring the Bayesian or Maximum likelihood Mk model over parsimony models which
Data from: Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome
负责人:
关键词:
DOI:
doi:10.5061/dryad.v4126t4
摘要:
for heterogeneous (co)variance structure across the genome. This model was also implemented in single-step Bayesian regression (ssBayesN0). For practical
Data from: The multispecies coalescent model outperforms concatenation across diverse phylogenomic
负责人:
关键词:
Bayesian model validation;coalescent prior;congruent gene trees;independent prior;Bayes factor;Athens;posterior predictive simulation;Metazoa
DOI:
doi:10.5061/dryad.7q6q3s0
摘要:
rejecting the substitution and concatenation models, and Bayesian model comparison strongly favors the MSC over concatenation across all data sets
Data from: Swapping birth and death: symmetries and transformations in phylodynamic models
负责人:
关键词:
Basel;maximum likelihood;phylogenetics;Bayesian inference;Phylodynamics;birth-death models;algebraic symmetries;speciation-extinction models
DOI:
doi:10.5061/dryad.57704ft
摘要:
ticularly to maximum likelihood and Bayesian inference methods, as well as to model selection.
Data from: Posterior predictive Bayesian phylogenetic model selection
负责人:
关键词:
posterior predictive;Bayesian;model selection;phylogenetics;L-measure;conditional predictive ordinate;log pseudomarginal likelihood
DOI:
doi:10.5061/dryad.6b7c1
摘要:
and CPO add new perspectives to Bayesian phylogenetic model selection based on the predictive abilities of models, and complement the perspective provided
Data from: Bayesian model selection with BAMM: effects of the model prior on the inferred number of diversification shifts
负责人:
关键词:
BAMM;Macroevolution;bayesian analysis
DOI:
doi:10.5061/dryad.0564q
摘要:
ntially influence both the probability of accepting models that are more (high error rate) or less (low power) complex than the generating model
Data from: Factors affecting GEBV accuracy with single-step Bayesian models
负责人:
Zhou, Lei
关键词:
DOI:
doi:10.5061/dryad.hk14j
摘要:
ween markers and QTL contributed to GEBV accuracy in the single-step analysis, and the advantages of single-step Bayesian models were more apparent
Data from: Exploring the power of Bayesian birth-death skyline models to detect mass extinction events from phylogenies with only extant taxa
负责人:
关键词:
extinction;mass extinction events;Bayesian inference;Diversification rates;speciation;episodic birth-death
DOI:
doi:10.5061/dryad.qv10c62
摘要:
with the single-pulse Bayesian model, CoMET, showed a similar frequency of Type II error and neither model exhibited Type I error. However, while CoMET performed
Data from: Reliability modelling and analysis of a multi-state element based on a dynamic Bayesian network
负责人:
关键词:
condition-based maintenance;conditional probability table;Markov process;Multi-state element;dynamic Bayesian network;dynamic fault tree
DOI:
doi:10.5061/dryad.1ch71sd
摘要:
. Finally, the power of a control unit in a failure model is used as an example. A dynamic fault tree (DFT) is translated into a Bayesian network (BN) model
Data from: Disentangling the formation of contrasting tree-line physiognomies combining model selection and Bayesian parameterization
负责人:
关键词:
Plant;Demography;Ecology: population;Ecology: spatial;Dispersal;Pinus uncinata;Modeling: individual based;Temperate Forest;Methods: computer simulations
DOI:
doi:10.5061/dryad.8422
摘要:
or krummholz tree lines to climate change. The method presented here can be widely applied in individual-based simulation models and will turn model

首页上一页12345下一页尾页

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充