state-space model

Estimating tree growth from complex forest monitoring data
Understanding tree growth as a function of tree size is important for a multitude of ecological and management applications. …
Melissa Eitzel, John Battles, Robert York, Jonas Knape, Perry de Valpine
Last updated on Jun 8, 2022
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Frequentist analysis of hierarchical models for population dynamics and demographic data
Hierarchical models include random effects or latent state variables. This class of models includes state–space models for population …
Perry de Valpine
Last updated on Jun 8, 2022
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Population dynamics of an Arctiid caterpillar–tachinid parasitoid system using state-space models
  1. Population dynamics of insect host–parasitoid systems are important in many natural and managed ecosystems and have inspired much …
Richard Karban, Perry de Valpine
Last updated on Jun 8, 2022
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Monte Carlo State-Space Likelihoods by Weighted Posterior Kernel Density Estimation
Maximum likelihood estimation and likelihood ratio tests for nonlinear, non-Gaussian state-space models require numerical integration …
Perry de Valpine
Last updated on Jun 8, 2022
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Better Inferences from Population-Dynamics Experiments Using Monte Carlo State-Space Likelihood Methods
In experimental population ecology, there is often a gap between realistic models used to hypothesize about population dynamics and …
Perry de Valpine
Last updated on Jun 8, 2022
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