Data from: The ontogeny of visual motor memory and its importance in handwriting and reading: a developing construct

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关键词：

Handwriting;Reading;Language Development;memory;Motor activity

DOI：

doi:10.5061/dryad.t3g5j

摘要：

memory on the screen using a digitizer stylus. Sophisticated algorithms (using point-registration techniques) objectively quantified the accuracy

Data from: The behavior of Metropolis-coupled Markov chains when sampling rugged phylogenetic distributions

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关键词：

Metropolis coupling;Markov chain Monte Carlo;Bayesian;MC3;Tetrapoda

DOI：

doi:10.5061/dryad.584m3

摘要：

ated 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: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

负责人：

关键词：

population genetics;Gaussian Markov Random Fields;phylogenetics;coalescent;Bayesian inference;Phylodynamics;Evolutionary Biology;effective population size

DOI：

doi:10.5061/dryad.mj0hn

摘要：

the posterior distribution, we adapt efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian models. Incorporating covariates int