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Data from: A hidden Markov model to identify and adjust for selection bias: an example involving mixed migration strategies
- 负责人:
- DOI:
- doi:10.5061/dryad.4430n
- 摘要:
- e observed for many years and under a variety of winter conditions. We developed a hidden Markov model where the probability of capture depends on each
Data from: Effects of complex life cycles on genetic diversity: cyclical parthenogenesis
- 负责人:
- Stoeckel, Solenn
- 关键词:
- Markov chains Cyclical parthenogenesis FIS distribution de Finetti diagrams individual-based simulations gametic phase disequilibrium
- DOI:
- doi:10.5061/dryad.r08vm
- 摘要:
- ious clonal phase lengths. Using a Markov chain model of CP for a single locus and individual-based simulations for two loci, our analysis first demonstrates
Data from: Bridging inter- and intraspecific trait evolution with a hierarchical Bayesian approach
- 负责人:
- DOI:
- doi:10.5061/dryad.n4vp0
- 摘要:
- of trait evolution by accounting for both trait mean and variance. Here, we present a model of phenotypic trait evolution using a hierarchical Bayesian approach tha
Data from: State-space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies
- 负责人:
- Pirotta, Enrico
- 关键词:
- 3D states GPS-GSM telemetry hidden state model Markov chain Monte Carlo movement ecology raptor subsidised flight
- DOI:
- doi:10.5061/dryad.44v9r82
- 摘要:
- 1. Characterizing the spatiotemporal variation of animal behaviour can elucidate the way individuals interact with their environment and allocate
Data from: Marine subsidies change short-term foraging activity and habitat utilization of terrestrial lizards
- 负责人:
- DOI:
- doi:10.5061/dryad.bc0qk
- 摘要:
- Markov chain models of perch height as a function of foraging state. These models suggest a “Synchronized-satiation Hypothesis,” whereby lizards respond synch
Data from: Bayesian methods for estimating GEBVs of threshold traits
- 负责人:
- DOI:
- doi:10.5061/dryad.pp551
- 摘要:
- e correspondingly termed BayesTA, BayesTB and BayesTC?. Computing procedures of the three BayesT methods using Markov Chain Monte Carlo (MCMC) algorithm were derived
Data from: Aggressive behaviours, food deprivation and the foraging gene
- 负责人:
- DOI:
- doi:10.5061/dryad.41pr0
- 摘要:
- of offensive behaviour than sitters and s2, a sitter-like mutant on rover genetic background. With a Markov chain model, we estimated the rate of aggression
Data from: Full Bayesian comparative phylogeography from genomic data
- 负责人:
- DOI:
- doi:10.5061/dryad.4b3j2bj
- 摘要:
- -averaged posterior via Markov chain Monte Carlo algorithms. Using simulations, we find that the new method is much more accurate and precise at estima
Data from: Bayes factors unmask highly variable information content, bias, and extreme influence in phylogenomic analyses
- 负责人:
- DOI:
- doi:10.5061/dryad.8gm85
- 摘要:
- as Markov chain Monte Carlo estimates of posterior probabilities). Bayes factors reveal important, previously hidden, differences across six “phylogenomic” data sets collected
Data from: Inferring heterogeneous evolutionary processes through time: from sequence substitution to phylogeography
- 负责人:
- DOI:
- doi:10.5061/dryad.qp747
- 摘要:
- in a Bayesian inference framework that offers great modeling flexibility in drawing inference about any discrete data type characterized as a continuous-time Markov chain