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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:
on of the Markov process and a dynamic Bayesian network (DBN), taking perfect repair, imperfect repair and condition-based maintenance (CBM) into considerati
Data from: Genetic distance for a general non-stationary Markov substitution process
负责人:
关键词:
Markov process;non-stationary;molecular clock;maximum likelihood;Genetic distance
DOI:
doi:10.5061/dryad.g7g0n
摘要:
me-reversible conditions and extend the concept of the expected number of substitutions to non-stationary Markov models where the only remaining constraint is of ti
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: A hidden Markov model to identify and adjust for selection bias: an example involving mixed migration strategies
负责人:
关键词:
winter severity;Bayesian;white-tailed deer;Migration;state-space;partially observed state;latent variable;1991-2006;Odocoileus virginianus
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 ea
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:
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: Do rats learn conditional independence?
负责人:
Bowers, Robert Ian
关键词:
conditionality Markov Condition graphical models associative learning causal reasoning
DOI:
doi:10.5061/dryad.9b458
摘要:
the theoretical weight of the Markov condition in graphical models, and challenge theories to articulate the conditions under which animals are expected to lear
Data from: Sex-specific and individual preferences for hunting strategies in white sharks
负责人:
关键词:
2010-2014;foraging mode;acoustic telemetry;predator-prey;fine scale movement;Carcharodon carcharias
DOI:
doi:10.5061/dryad.q90fm
摘要:
but there has been less focus on the strategies they use to encounter prey. We applied mixed hidden Markov models to acoustic tracking data of white shar
Data from: Phylogenetic tree estimation with and without alignment: new distance methods and benchmarking
负责人:
关键词:
Pair hidden Markov models;phylogenetic inference;Alignment free;Distance-based phylogenetics;statistical alignment
DOI:
doi:10.5061/dryad.n5r49
摘要:
Phylogenetic tree inference is a critical component of many systematic and evolutionary studies. The majority of these studies are based
Data from: Bayesian methods for estimating GEBVs of threshold traits
负责人:
关键词:
Genomic selection;Bayesian methods;MCMC;threshold traits
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

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