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Data from: Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies
负责人:
关键词:
Markov chain;selection;Bayesian;Hot hand
DOI:
doi:10.5061/dryad.4k25m2q
摘要:
When extended to data from the 2016--2017 NBA season specifically for LeBron James, a model depending on the previous shot (single-step Markovia
Data from: The behavior of Metropolis-coupled Markov chains when sampling rugged phylogenetic distributions
负责人:
关键词:
Metropolis coupling;Markov chain Monte Carlo;Bayesian;MC3;Tetrapoda
DOI:
doi:10.5061/dryad.584m3
摘要:
Bayesian phylogenetic inference involves sampling from posterior distributions of trees, which sometimes exhibit local optima, or peaks, separated
Data from: Markov-modulated continuous-time Markov chains to identify site- and branch-specific evolutionary variation in BEAST
负责人:
关键词:
Markov-modulated models;heterotachy;BEAGLE;phylogenetics;Bayesian inference;covarion;BEAST
DOI:
doi:10.5061/dryad.230s5h0
摘要:
rall substitution rate) at individual sites to vary across lineages. We implement a general MMM framework in BEAST, a popular Bayesian
Data from: Model selection and parameter inference in phylogenetics using nested sampling
负责人:
关键词:
marginal likelihood;parameter inference;model selection;nested sampling
DOI:
doi:10.5061/dryad.220d6t5
摘要:
. Nested sampling (NS) is a Bayesian computation algorithm which provides the means to estimate marginal likelihoods together with their uncertainties, and to sample

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