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Data from: Monte Carlo Strategies for selecting parameter values in simulation experiments
- 负责人：
- 关键词：
- phylogenetic analysis;Simulation;Markov chain Monte Carlo;Plant domestication;Importance sampling
- DOI：
- doi:10.5061/dryad.366j4
- 摘要：
- n the extraordinary success of Monte Carlo methods for conducting inference in phylogenetics, and indeed throughout the sciences, we investigate ways in which
Data from: State-space reduction and equivalence class sampling for a molecular self-assembly model
- 负责人：
- DOI：
- doi:10.5061/dryad.vd156
- 摘要：
- r construction and characterization of a Markov chain with state space H, the target information is efficiently retrieved via Markov chain Monte Carlo
Data from: Exact Bayesian inference for animal movement in continuous time
- 负责人：
- DOI：
- doi:10.5061/dryad.mv02k
- 摘要：
- d for time discretization error. We represent the times of changes in behaviour as forming a thinned Poisson process, allowing exact simulation and Markov chain Monte Carlo
Data from: Bayesian adaptive Markov Chain Monte Carlo estimation of genetic parameters
- 负责人：
- 关键词：
- Hordeum vulgare L.
- DOI：
- doi:10.5061/dryad.0p88f
- 摘要：
- s is of great importance in both natural and breeding populations. Here we propose a new fast adaptive Markov Chain Monte Carlo (MCMC) sampling algorithm
Data from: The behavior of Metropolis-coupled Markov chains when sampling rugged phylogenetic distributions
- 负责人：
- DOI：
- doi:10.5061/dryad.584m3
- 摘要：
- d by regions of low posterior density. Markov chain Monte Carlo (MCMC) algorithms are the most widely used numerical method for generating samples from these
Data from: Bayesian analysis of biogeography when the number of areas is large
- 负责人：
- DOI：
- doi:10.5061/dryad.8346r
- 摘要：
- nge. We develop this approach in a Bayesian framework, marginalizing over all possible biogeographic histories using Markov chain Monte Carlo (MCMC). Besi
Data from: An efficient independence sampler for updating branches in Bayesian Markov chain Monte Carlo sampling of phylogenetic trees
- 负责人：
- DOI：
- doi:10.5061/dryad.63pm5
- 摘要：
- y for topological convergence. Inconsistent performance gains indicate that branch updates are not the limiting factor in improving topological convergence for the cu
Data from: Bayesian species delimitation can be robust to guide tree inference errors
- 负责人：
- DOI：
- doi:10.5061/dryad.m1r32
- 摘要：
- d in the reversible-jump Markov chain Monte Carlo (rjMCMC) algorithm (Green, 1995). It has been pointed out that the method tends to over-split if a random population
Data from: Ancestral character estimation under the threshold model from quantitative genetics
- 负责人：
- DOI：
- doi:10.5061/dryad.4t157
- 摘要：
- Markov chain Monte Carlo (MCMC) to sample the liabilities of ancestral and tip species, and the relative positions of two or more thresholds, from their joint poste
Data from: Disentangling the formation of contrasting tree-line physiognomies combining model selection and Bayesian paramete
- 负责人：
- DOI：
- doi:10.5061/dryad.8422
- 摘要：
- l subset of processes required for tree-line formation. A Bayesian approach combined with Markov chain Monte Carlo methods was employed to obtai
