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Data from: Integrated population models: bias and inference
负责人:
关键词:
integrated population models;Bayesian;parameter estimation;model assumption violation;Heterogeneity
DOI:
doi:10.5061/dryad.fd28113
摘要:
, state-space, and fecundity models, as well as integrated population models. 3. Simulation results suggest that when sampling bias exists in data
Data from: Information-based centralization of locomotion in animals and robots
负责人:
关键词:
locomotion;robotics;Information theory
DOI:
doi:10.5061/dryad.4vk610r
摘要:
frameworks. We developed an empirical, model-free measure of centralization that compares information between control signals and both global and local states. A se
Data from: Seasonal difference in temporal transferability of an ecological model: near-term predictions of lemming outbreak abundances
负责人:
关键词:
Lemmus lemmus;2006-2007;Myodes rufocanus;2010-2011
DOI:
doi:10.5061/dryad.4j4t81p
摘要:
the temporal transferability of a dynamic state-space model developed to estimate season-dependent biotic and climatic predictors of spatial
Data from: Modelling the functional link between movement, feeding activity and condition in a marine predator
负责人:
Pirotta, Enrico
关键词:
Body condition Feeding ecology Satellite tracking Disturbance Bayesian state-space modelling Elephant seals
DOI:
doi:10.5061/dryad.r1t6fj5
摘要:
information, to develop a Bayesian state-space model that concurrently estimates an individual’s location, feeding activity, and changes in condition
Data from: Estimating range expansion of wildlife in heterogeneous landscapes: a spatially explicit state-space matrix model coupled with an improved
负责人:
Osada, Yutaka
关键词:
population dynamic
DOI:
doi:10.5061/dryad.pt38f8s
摘要:
how environmental covariates affect the dispersal of Japanese sika deer by developing a spatially explicit state-space matrix model coupled with an improved
Data from: Multidimensional (co)evolutionary stability
负责人:
关键词:
competition;Ecology: evolutionary;Genetics: quantitative;Interactions: coevolution;Theory;Evolution: host\/parasite;Modeling: matrix;Coevolution;Modeling: population ecology;Fitness
DOI:
doi:10.5061/dryad.vg7sr
摘要:
selection influences convergence stability and evolutionary stability in models for coevolution in multidimensional phenotype spaces. Our results al
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:
to incorporate latent variables and model direct and indirect links between state variables and capture probabilities.
Data from: A unifying framework for quantifying the nature of animal interactions
负责人:
关键词:
animal movement collective behaviour insectivore birds
DOI:
doi:10.5061/dryad.47jh1
摘要:
-level spatial patterns from underlying individual movement and interaction processes, a key ingredient in building a stat
Data from: Use of continuous traits can improve morphological phylogenetics
负责人:
关键词:
morphology;Paleontology;Bayesian;phylogenetics;Quantitative Characters
DOI:
doi:10.5061/dryad.40b70
摘要:
in morphological datasets by preserving larger variation in state space compared to many discretisation schemes. I also suggest that the use of continuous trait models

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