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Data from: A local evaluation of the individual state-space to scale up Bayesian spatial capture recapture
负责人:
Milleret, Cyril
关键词:
SCR abundance local evaluation of state space
DOI:
doi:10.5061/dryad.42m96c8
摘要:
ional burden of large-scale SCR models, we developed an improved formulation of the Bayesian SCR model that uses local evaluation of the individual state-space
Data from: An integrated occupancy and space-use model to predict abundance of imperfectly detected, territorial vertebrates
负责人:
关键词:
Bayesian Density population size wildlife habitat model home range Black- backed Woodpecker
DOI:
doi:10.5061/dryad.4ff53
摘要:
spatial scales, using resolutions equal to or smaller than a single home range or territory. We demonstrate this model on the Black-backed Woodpecker (Picoides
Data from: Probabilistic graphical model representation in phylogenetics
负责人:
关键词:
tree plate;Inference;Statistical phylogenetics;Graphical Models;modularization;computation
DOI:
doi:10.5061/dryad.nt898
摘要:
Recent years have seen a rapid expansion of the model space explored in statistical phylogenetics, emphasizing the need for new approaches
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:
king in three dimensions were paired with topographical information and used in a Bayesian state-space model to describe the flight modes of migrating golden eagles
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:
Bayesian state-space models population dynamics time-series age-structured model spatial structure k-fold cross validation
DOI:
doi:10.5061/dryad.td8nb
摘要:
ecifically, we developed dynamic, age-structured, state-space models to test different hypotheses regarding the spatial structure of a population complex of coasta
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:
ty to incorporate latent variables and model direct and indirect links between state variables and capture probabilities.
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: A global synthesis of survival estimates for microbats
负责人:
关键词:
Demography;mortality;state-space model;population viability;mark-recapture;Austronomus australis;Chalinolobus gouldii;Chiroptera
DOI:
doi:10.5061/dryad.78m34
摘要:
rs of monitoring data for two Australian species, we demonstrate how knowledge about the effect of traits on survival can be incorporated into Bayesian survival analyses
Data from: Variable effects of climate on forest growth in relation to climate extremes, disturbance, and forest dynamics
负责人:
关键词:
disturbance;Dendrochronology;productivity;Bayesian state space model;forest dynamics;forest tent caterpillar;climate;tree rings
DOI:
doi:10.5061/dryad.18pm5
摘要:
a hierarchical Bayesian state space model in which climate effects on tree growth are allowed to vary over time and in relation to past climate extremes, disturbance events
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

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