State-Space Modeling of Animal Movement and Mortality with Application to Salmon

DOI10.2307/2533659zbMath1058.62638OpenAlexW2325799032MaRDI QIDQ4666070

Ken B. Newman

Publication date: 11 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/155e9a82277d091928d4ba3c00b49847d3335543

zbMATH Keywords

spatial statisticstime seriescapture and recoveryKalman algorithms

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Efficient sequential Monte Carlo algorithms for integrated population models ⋮ Improving inference for nonlinear state‐space models of animal population dynamics given biased sequential life stage data ⋮ Embedding population dynamics models in inference ⋮ A stochastic simulation model for \textit{Anelosimus studiosus} during prey capture: a case study for determination of optimal spacing ⋮ Integrating Mark-Recapture-Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters

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