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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:
. Finally, the power of a control unit in a failure model is used as an example. A dynamic fault tree (DFT) is translated into a Bayesian network (BN) model
Data from: A novel Bayesian method for inferring and interpreting the dynamics of adaptive landscapes from phylogenetic comparative data
负责人:
关键词:
Macroevolution;Reversible-jump models;Ornstein-Uhlenbeck models;Comparative Methods;Bayou
DOI:
doi:10.5061/dryad.t342m
摘要:
can be tested against this inferred posterior of shift locations using Bayes Factors to establish whether our a priori models adequately describe the dynamics
Data from: Pathogen growth in insect hosts: inferring the importance of different mechanisms using stochastic models and response time data
负责人:
关键词:
baculovirus;Ecology: theoretical;Within-host model;Lymantria dispar nucleopolyhedrovirus;Demographic Stochasticity;Lymantria dispar
DOI:
doi:10.5061/dryad.04vh7
摘要:
driving within-host dynamics is weak. Mathematical models have provided useful insights, but existing models have only rarely been subjected to rigorous
Data from: Speciation dynamics during the global radiation of extant bats
负责人:
关键词:
BAMM;Macroevolution;phylogenetic imbalance;diversification rate;Chiroptera
DOI:
doi:10.5061/dryad.2451q
摘要:
ng a Bayesian method for modeling complex evolutionary dynamics. Surprisingly, we find that variation in family richness can largely be explained without invoking
Data from: Integrating genetic analysis of mixed populations with a spatially-explicit population dynamics model
负责人:
Whitlock, Rebecca
关键词:
Bayesian Baltic salmon mixed fisheries spatial model
DOI:
doi:10.5061/dryad.4pg37
摘要:
vement in an integrated population modelling approach. We apply the Bayesian genetic mixed stock analysis to 17 wild and 10 hatchery-reared Baltic salmon (S. salar) stocks
Data from: Assessing the dynamics of natural populations by fitting individual based models with approximate Bayesian computation
负责人:
关键词:
Pogonocichla stellata;approximate Bayesian computation;population dynamics;Individual Based Model
DOI:
doi:10.5061/dryad.851jr
摘要:
, but its applicability to data on natural populations has not been yet fully explored. 2. We construct an IBM for the metapopulation dynamics of a species inhabiting
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:
a number of flexible coalescent-based models for Bayesian nonparametric estimation of the effective population size as a function of time. Major goals
Data from: Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
负责人:
Rogers, Lauren A.
关键词:
population dynamics state-space models time-series age-structured model Bayesian spatial structure k-fold cross validation
DOI:
doi:10.5061/dryad.td8nb
摘要:
ecologically relevant population sub-structure and dynamics. The goals of this study were to investigate how population dynamics models
Data from: The consequences of not accounting for background selection in demographic inference
负责人:
关键词:
Natural Selection and Contemporary Evolution;Evolutionary Theory;Population Genetics - Theoretical;population dynamics
DOI:
doi:10.5061/dryad.37hc1
摘要:
ve simulations with BGS to determine biases and behaviour of demographic inference using an approximate Bayesian approach. We find that results can be posi
Data from: Tempo and mode of performance evolution across multiple independent origins of adhesive toe pads in lizards
负责人:
Hagey, Travis
关键词:
Ornstein-Uhlenbeck Brownian Motion Toe Detachment Angle Gecko Anole
DOI:
doi:10.5061/dryad.45623
摘要:
species, we modified Brownian Motion (BM) and Ornstein-Uhlenbeck (OU) models to account for repeated origins estimated using Bayesian

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