Inference on partially observed quasi-stationary Markov chains with applications to multistate population models

DOI10.1007/S13253-011-0065-7zbMath1302.62280OpenAlexW2002511190MaRDI QIDQ484504

Peter Dann, Jakub Stoklosa, Richard M. Huggins

Publication date: 7 January 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-011-0065-7

zbMATH Keywords

transition probabilitiescapture-recaptureArnason-Schwarz modelbatch markinglittle penguin (Eudyptula minor)quasi-stationary Markov chains

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Estimation of population size when capture probability depends on individual states

Uses Software

• R
• Program MARK
• RMark
• MARK

Cites Work

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• Pseudo maximum likelihood estimation: The asymptotic distribution
• Pseudo maximum likelihood estimation: Theory and applications
• The asymptotic effect of substituting estimators for parameters in certain types of statistics
• Least-squares estimation of transition probabilities from aggregate data
• The information in aggregate data from Markov chains
• Quasi-stationary distributions for Markov chains on a general state space
• Estimating Transition Probabilities from Aggregate Samples Augmented by Haphazard Recaptures
• Capture-Recapture Studies for Multiple Strata Including Non-Markovian Transitions
• Multistate recapture models: Modelling incomplete individual histories
• On Quasi-Stationary distributions in absorbing discrete-time finite Markov chains

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