Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack-Jolly-Seber model

Environmental and Ecological Statistics

Volumn 15, Issue 1, 2008, Pages 79-87

  Link, William A ^a   Barker, Richard J ^b  

^a PATUXENT WILDLIFE RESEARCH CENTER   (United States)

^b UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

Cormack Jolly Seber model; Mark recapture analysis; Markovchain Monte Carlo; Metropolis Hastings algorithm

Indexed keywords

ALGORITHM; BAYESIAN ANALYSIS; MARKOV CHAIN; MODELING; MONTE CARLO ANALYSIS;

EID: 39049135190     PISSN: 13528505     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10651-007-0037-9     Document Type: Conference Paper

References (6)

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2. Burnham KP (1991) On a unified theory for release-resampling of animal populations. Proceedings: Taipei symposium in statistics. Institute of Statistical Science, Academia, Sinica. Taiwan, Republic of China
3. Cormack RM (1964). Estimates of survival from the sighting of marked animals. Biomatrika 51: 429-438
4. Link WA and Barker RJ (2005). Modeling association among demographic parameters in analysis of open population capture-recapture data. Biometrics 61: 46-54
5. Jolly GM (1965). Explicit estimates from capture-recapture data with both death and immigration-stochastic model. Biometrika 52: 225-247
6. Seber GAF (1965). A note on the multiple-recapture census. Biometrika 52: 249-259