State-space models for animal population dynamics
The Influence Of Collective Animal Movement On Population Dynamics
... Chapter three examines the role of collective behavior in data on caribou mi- gration patterns, using measurements of the location of the Leaf River caribou herd in Qu´ebec, Canada, collected using satellite tracking ...
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State space and movement specification in open population spatial capture-recapture models.
... capture–recapture models (SCR; Efford, 2004; Borchers & Efford, 2008; Royle, Chandler, Sollmann, & Gardner, ...SCR models have become increasingly popular and are widely used in con- junction with a ...
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3.1 State Space Models
... systems, the simulation diagrams are elementary analog computers that solve differential equations describing systems dynamics. They are composed of integrators, adders, subtracters, and multipliers, which are ...
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Linear State Space Models
... In general, knowing the mean and variance-covariance matrix of a random vector is not quite as good as knowing the full distribution. However, there are some situations where these moments alone tell us all we need to ...
Dynamic State Space Models
... autoregressive dynamics on f t , implementing state-space framework prediction of this latent “state” variable and avoiding the need for principal components ...
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Embedding population dynamics in mark recapture models
... the animal, j, y or a, the capture history pat- tern and the time ...an animal has been in the ...an animal has matured and is classified as an adult which occurs at age 1 for unmarked juveniles and ...
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Applications of and extensions to state-space models
... filtering based models. It uses a simple model, whose parameter values evolve over time, using a principled, Bayesian estimation approach. This strategy offers practical and computational advantages over ...
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The colour of environmental fluctuations associated with terrestrial animal population dynamics
... pirical periodograms of the detrended time series (detrending re‐ moved the least‐squares straight‐line fit with respect to year from the environmental time series, then used the residuals for further analysis). Given ...
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State Space Models and Inverse FORM - A Review
... to models presented by Chen and ...p models the parasitic resistance that accounts for ...major dynamics of the battery, but ignores temperature effects and other minor battery ...
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From general State-Space to VARMAX models
... coefficients State-Space and VARMAX models are equivalent, mea- ning that they are able to represent the same linear dynamics, being indis- tinguishable in terms of overall ...eral ...
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Dynamics of animal joint space use: a novel application of a time series approach
... Methods: We treat the intersection of the utilization distributions of two individuals as a time series. The series is linked to covariates using copula-based marginal beta regression, an alternative to generalized ...
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A state space modelling approach to population size estimation
... female population (all age groups) accessing the study area together with the number of distinct individuals resighted, the raw Summer counts in the study area and the raw Summer counts in the whole ...this ...
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State space reparametrization for approximating nonlinear models in Bayesian state estimation
... object state before starting the filtering process, and proper modeling of this initial distribution is essential to obtaining accurate ...the state of the target evolves through time, and models ...
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Population dynamics models in plant-insect herbivore-pesticide interactions
... Banks and Stark conducted their full-factorial design field experiment during the summer of 1999 at a Washington State University experimental farm in Puyallup, Washington. They established 2.5m square plots each ...
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Stochastic Gradient MCMC for Nonlinear State Space Models
... Rihui Ou, Alexander L Young, and David B Dunson. Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States. arXiv preprint arXiv:1810.13431, 2018. Sam Patterson and Yee Whye Teh. ...
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Efficient Bayesian estimation of multivariate state space models
... and simulation smoothing presented in Section 3.1.2 over that of the stan- dard simulation smoother approach are presented. It is interesting that a small gain in computational e¢ ciency is made when p = 1. Examination ...
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On Particle Methods for Parameter Estimation in State-Space Models
... sian models, where a part of the state is integrated out using Kalman techniques [ 15, 31 ], is proposed in [ 13 ...ficial dynamics, these MCMC-based approaches have the advantage of adding diversity ...
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MCMC for state-space models
... the state; or how to approximate the full conditional for use within an independence ...of models, and the latter used the linear-Gaussian nature of the ...general state-models, but this can ...
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Linear State Space Models
... We can then choose, as state variables, x i (t) = v i (t), which lead to the following state space model for the system. The above model has a special form. We will see later that any completely ...
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NEW JERSEY STATE ANIMAL POPULATION CONTROL
... On December 17, 1986, the DHSS was charged with implementing P.L. 1986, c. 192 (Appendix B). The law became effective immediately. This law permits any dog or cat adopted from a licensed non-profit shelter or pound and ...
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