Estimating survival in continuous space from mark-dead-recovery data -- towards a continuous version of the multinomial dead recovery model

DOI10.1016/j.jtbi.2023.111625zbMath1528.92046OpenAlexW4386987613MaRDI QIDQ6090121

Saskia Schirmer, Fränzi Korner-Nievergelt, Volkmar Liebscher, Jan A. C. von Rönn

Publication date: 16 December 2023

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2023.111625

zbMATH Keywords

thinned point processobservation processmark-recovery datamixed binomial point processspatially continuous survival estimation

Mathematics Subject Classification ID

Population dynamics (general) (92D25) Ecology (92D40)

Cites Work

• Distance sampling: methods and applications
• Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales
• Estimation in the multinomial reencounter model -- where do migrating animals go and how do they survive in their destination area?
• Multistate capture-recapture models for irregularly sampled data
• Parameter redundancy in mark-recovery models
• Continuous-time capture-recapture in closed populations
• Analysis of band-recovery data in a multistate capture-recapture framework
• A Model-Based Approach for Making Ecological Inference from Distance Sampling Data
• Statistical Analysis and Modelling of Spatial Point Patterns
• On the Best Obtainable Asymptotic Rates of Convergence in Estimation of a Density Function at a Point

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