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Volumn 21, Issue 3, 2014, Pages 435-451

Hierarchical modeling of abundance in closed population capture-recapture models under heterogeneity

Author keywords

Bayesian; Capture recapture; Complete data likelihood; Data augmentation; Hierarchical; MCMC; Reversible jump; Superpopulation; Trans dimensional

Indexed keywords

ABUNDANCE; ANALYTICAL FRAMEWORK; BAYESIAN ANALYSIS; HETEROGENEITY; HIERARCHICAL SYSTEM; MARK-RECAPTURE METHOD; MARKOV CHAIN; MONTE CARLO ANALYSIS; POPULATION SIZE;

EID: 84907595933     PISSN: 13528505     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10651-013-0262-3     Document Type: Article
Times cited : (13)

References (42)
  • 1
    • 0028310854 scopus 로고
    • Simple capture-recapture models permitting unequal catchability and variable sampling effort
    • Agresti A (1994) Simple capture-recapture models permitting unequal catchability and variable sampling effort. Biometrics 50: 494-500.
    • (1994) Biometrics , vol.50 , pp. 494-500
    • Agresti, A.1
  • 2
    • 77953275674 scopus 로고    scopus 로고
    • Bias, precision, and parameter redundancy in complex multistate models with unobservable states
    • Bailey LL, Converse SJ, Kendall WL (2010) Bias, precision, and parameter redundancy in complex multistate models with unobservable states. Ecology 91(6): 1598-1604.
    • (2010) Ecology , vol.91 , Issue.6 , pp. 1598-1604
    • Bailey, L.L.1    Converse, S.J.2    Kendall, W.L.3
  • 3
    • 0034862849 scopus 로고    scopus 로고
    • Analysis of capture-recapture data with a Rasch-type model allowing for conditional dependence and multidimensionality
    • Bartolucci F, Forcina A (2001) Analysis of capture-recapture data with a Rasch-type model allowing for conditional dependence and multidimensionality. Biometrics 57(3): 714-719.
    • (2001) Biometrics , vol.57 , Issue.3 , pp. 714-719
    • Bartolucci, F.1    Forcina, A.2
  • 4
    • 33745657910 scopus 로고    scopus 로고
    • A class of latent marginal models for capture-recapture data with continuous covariates
    • Bartolucci F, Forcina A (2006) A class of latent marginal models for capture-recapture data with continuous covariates. J Am Stat Assoc 101(474): 786-794.
    • (2006) J Am Stat Assoc , vol.101 , Issue.474 , pp. 786-794
    • Bartolucci, F.1    Forcina, A.2
  • 5
    • 84890561548 scopus 로고    scopus 로고
    • Answering two biological questions with a latent class model via MCMC applied to capture-recapture data
    • Bartolucci F, Mira A, Scaccia L (2003) Answering two biological questions with a latent class model via MCMC applied to capture-recapture data. Appl Bayesian Stat Stud Biol Med 7.
    • (2003) Appl Bayesian Stat Stud Biol Med , pp. 7
    • Bartolucci, F.1    Mira, A.2    Scaccia, L.3
  • 7
    • 0032273615 scopus 로고    scopus 로고
    • General methods for monitoring convergence of iterative simulations
    • Brooks SP, Gelman A (1998) General methods for monitoring convergence of iterative simulations. J Comput Graph Stat 7(4): 434-455.
    • (1998) J Comput Graph Stat , vol.7 , Issue.4 , pp. 434-455
    • Brooks, S.P.1    Gelman, A.2
  • 8
    • 0018069938 scopus 로고
    • Estimation of the size of a closed population when capture probabilities vary among animals
    • Burnham KP, Overton WS (1978) Estimation of the size of a closed population when capture probabilities vary among animals. Biometrika 65: 625-633.
    • (1978) Biometrika , vol.65 , pp. 625-633
    • Burnham, K.P.1    Overton, W.S.2
  • 9
    • 0000506629 scopus 로고
    • Bayesian model choice via Markov chain Monte Carlo methods
    • Carlin B, Chib S (1995) Bayesian model choice via Markov chain Monte Carlo methods. J Royal Stat Soc Series B 57(3): 473-484.
    • (1995) J Royal Stat Soc Series B , vol.57 , Issue.3 , pp. 473-484
    • Carlin, B.1    Chib, S.2
  • 10
    • 0041974049 scopus 로고
    • Marginal likelihood from the Gibbs output
    • Chib S (1995) Marginal likelihood from the Gibbs output. J Am Stat Assoc 90(432): 1313-1321.
    • (1995) J Am Stat Assoc , vol.90 , Issue.432 , pp. 1313-1321
    • Chib, S.1
  • 11
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J Royal Stat Soc B 39: 1-38.
    • (1977) J Royal Stat Soc B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 12
    • 25444452152 scopus 로고    scopus 로고
    • Mark-recapture with occasion and individual effects: abundance estimation through Bayesian model selection in a fixed dimensional parameter spaces
    • Durban JW, Elston DA (2005) Mark-recapture with occasion and individual effects: abundance estimation through Bayesian model selection in a fixed dimensional parameter spaces. J Agric Biol Environ Stat 10: 291-305.
    • (2005) J Agric Biol Environ Stat , vol.10 , pp. 291-305
    • Durban, J.W.1    Elston, D.A.2
  • 13
    • 77950337561 scopus 로고    scopus 로고
    • Reference Bayesian methods for recapture models with heterogeneity
    • Farcomeni A, Tardella L (2010) Reference Bayesian methods for recapture models with heterogeneity. Test 19(1): 187-208.
    • (2010) Test , vol.19 , Issue.1 , pp. 187-208
    • Farcomeni, A.1    Tardella, L.2
  • 14
    • 0033472991 scopus 로고    scopus 로고
    • Classical multilevel and Bayesian approaches to population size estimation using multiple lists
    • Fienberg S, Johnson M, Junker B (1999) Classical multilevel and Bayesian approaches to population size estimation using multiple lists. J Royal Stat Soc Series A (Stat Soc) 162(3): 383-405.
    • (1999) J Royal Stat Soc Series A (Stat Soc) , vol.162 , Issue.3 , pp. 383-405
    • Fienberg, S.1    Johnson, M.2    Junker, B.3
  • 15
    • 2942628165 scopus 로고    scopus 로고
    • Parameterization and Bayesian modeling
    • Gelman A (2004) Parameterization and Bayesian modeling. J Am Stat Assoc 99(466): 537-545.
    • (2004) J Am Stat Assoc , vol.99 , Issue.466 , pp. 537-545
    • Gelman, A.1
  • 16
    • 84867086419 scopus 로고    scopus 로고
    • Prior distributions for variance parameters in hierarchical models
    • Gelman A (2006) Prior distributions for variance parameters in hierarchical models. Bayesian Anal 1: 515-533.
    • (2006) Bayesian Anal , vol.1 , pp. 515-533
    • Gelman, A.1
  • 18
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
    • Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans Patt Anal Mach Intell 6: 721-741.
    • (1984) IEEE Trans Patt Anal Mach Intell , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 19
    • 77951190231 scopus 로고    scopus 로고
    • Individual heterogeneity in studies on marked animals using numerical integration: capture-recapture mixed models
    • Gimenez O, Choquet R (2010) Individual heterogeneity in studies on marked animals using numerical integration: capture-recapture mixed models. Ecology 91(4): 951-957.
    • (2010) Ecology , vol.91 , Issue.4 , pp. 951-957
    • Gimenez, O.1    Choquet, R.2
  • 20
    • 0035591051 scopus 로고    scopus 로고
    • On the relationship between Markov chain Monte Carlo methods for model uncertainty
    • Godsill SJ (2001) On the relationship between Markov chain Monte Carlo methods for model uncertainty. J Comput Graph Stat 10(2): 230-248.
    • (2001) J Comput Graph Stat , vol.10 , Issue.2 , pp. 230-248
    • Godsill, S.J.1
  • 21
    • 85041975304 scopus 로고
    • Exploratory latent structure analysis using both identifiable and unidentifiable models
    • Goodman LA (1974) Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika 61(2): 215-231.
    • (1974) Biometrika , vol.61 , Issue.2 , pp. 215-231
    • Goodman, L.A.1
  • 22
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • Green PJ (1995) Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82(4): 711-732.
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.J.1
  • 23
    • 0019293858 scopus 로고
    • Use of Bernoulli census and log-linear methods for estimating the prevalence of spina bifida in livebirths and the completeness of vital record reports in New York State
    • Hook EB, Albright SG, Cross PK (1980) Use of Bernoulli census and log-linear methods for estimating the prevalence of spina bifida in livebirths and the completeness of vital record reports in New York State. Am J Epidemiol 112(6): 750-758.
    • (1980) Am J Epidemiol , vol.112 , Issue.6 , pp. 750-758
    • Hook, E.B.1    Albright, S.G.2    Cross, P.K.3
  • 24
    • 49749129588 scopus 로고    scopus 로고
    • On the Bayesian estimation of a closed population size in the presence of heterogeneity and model uncertainty
    • King R, Brooks SP (2008) On the Bayesian estimation of a closed population size in the presence of heterogeneity and model uncertainty. Biometrics 64(3): 816-824.
    • (2008) Biometrics , vol.64 , Issue.3 , pp. 816-824
    • King, R.1    Brooks, S.P.2
  • 25
    • 0035628553 scopus 로고    scopus 로고
    • Implementations of the Monte Carlo EM algorithm
    • Levine RA, Casella G (2001) Implementations of the Monte Carlo EM algorithm. J Comput Graph Stat 10(3): 422-439.
    • (2001) J Comput Graph Stat , vol.10 , Issue.3 , pp. 422-439
    • Levine, R.A.1    Casella, G.2
  • 27
    • 0442309501 scopus 로고    scopus 로고
    • Parameter expansion for data augmentation
    • Liu JS, Wu YN (1999) Parameter expansion for data augmentation. J Am Stat Assoc 94: 1264-1274.
    • (1999) J Am Stat Assoc , vol.94 , pp. 1264-1274
    • Liu, J.S.1    Wu, Y.N.2
  • 28
    • 0006407254 scopus 로고    scopus 로고
    • WinBUGS: a Bayesian modelling framework-concepts, structure, and extensibility
    • Lunn D, Thomas A, Best N, Spiegelhalter D (2000) WinBUGS: a Bayesian modelling framework-concepts, structure, and extensibility. Stat Comput 10: 325-337.
    • (2000) Stat Comput , vol.10 , pp. 325-337
    • Lunn, D.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.4
  • 30
    • 0002694916 scopus 로고    scopus 로고
    • Bayesian methods for estimation of the size of a closed population
    • Madigan D, York J (1997) Bayesian methods for estimation of the size of a closed population. Biometrika 84(1): 19-31.
    • (1997) Biometrika , vol.84 , Issue.1 , pp. 19-31
    • Madigan, D.1    York, J.2
  • 31
    • 0001722949 scopus 로고
    • Statistical inference from capture data on closed animal populations
    • Otis DL, Burnham KP, White GC, Anderson DR (1978) Statistical inference from capture data on closed animal populations. Wildl Monogr 62: 1-135.
    • (1978) Wildl Monogr , vol.62 , pp. 1-135
    • Otis, D.L.1    Burnham, K.P.2    White, G.C.3    Anderson, D.R.4
  • 33
    • 0001281173 scopus 로고
    • A capture-recapture design robust to unequal probability of capture
    • Pollock KH (1982) A capture-recapture design robust to unequal probability of capture. J Wildl Manag 46(3): 752-757.
    • (1982) J Wildl Manag , vol.46 , Issue.3 , pp. 752-757
    • Pollock, K.H.1
  • 34
    • 43749112747 scopus 로고    scopus 로고
    • Modeling individual effects in the Cormack-Jolly-Seber model: a state-space formulation
    • Royle JA (2008) Modeling individual effects in the Cormack-Jolly-Seber model: a state-space formulation. Biometrics 64(2): 364-370.
    • (2008) Biometrics , vol.64 , Issue.2 , pp. 364-370
    • Royle, J.A.1
  • 35
    • 84859270460 scopus 로고    scopus 로고
    • Parameter-expanded data augmentation for Bayesian analysis of capture-recapture models
    • Royle JA, Dorazio RM (2012) Parameter-expanded data augmentation for Bayesian analysis of capture-recapture models. J Ornithol 152: 521-537.
    • (2012) J Ornithol , vol.152 , pp. 521-537
    • Royle, J.A.1    Dorazio, R.M.2
  • 36
    • 34147204415 scopus 로고    scopus 로고
    • Analysis of multinomial models with unknown index using data augmentation
    • Royle JA, Dorazio RM, Link WA (2007) Analysis of multinomial models with unknown index using data augmentation. J Comput Graph Stat 16: 67-85.
    • (2007) J Comput Graph Stat , vol.16 , pp. 67-85
    • Royle, J.A.1    Dorazio, R.M.2    Link, W.A.3
  • 38
    • 0001388452 scopus 로고
    • Estimating the size of a multinomial population
    • Sanathanan L (1972) Estimating the size of a multinomial population. Ann Math Stat 43(1): 142-152.
    • (1972) Ann Math Stat , vol.43 , Issue.1 , pp. 142-152
    • Sanathanan, L.1
  • 39
    • 79958706022 scopus 로고    scopus 로고
    • Full open population capture-recapture models with individual covariates
    • Schofield MR, Barker RJ (2011) Full open population capture-recapture models with individual covariates. J Agric Biol Environ Stat 16: 253-268.
    • (2011) J Agric Biol Environ Stat , vol.16 , pp. 253-268
    • Schofield, M.R.1    Barker, R.J.2
  • 40
    • 24644518085 scopus 로고    scopus 로고
    • Transdimensional Markov chains
    • Sisson SA (2005) Transdimensional Markov chains. J Am Stat Assoc 100(471): 1077-1089.
    • (2005) J Am Stat Assoc , vol.100 , Issue.471 , pp. 1077-1089
    • Sisson, S.A.1
  • 41
    • 2942688002 scopus 로고    scopus 로고
    • A multiple-record systems estimation method that takes observed and unobserved heterogeneity into account
    • Stanghellini E, van der Heijden PGM (2004) A multiple-record systems estimation method that takes observed and unobserved heterogeneity into account. Biometrics 60(2): 510-516.
    • (2004) Biometrics , vol.60 , Issue.2 , pp. 510-516
    • Stanghellini, E.1    van der Heijden, P.G.M.2
  • 42
    • 1642274336 scopus 로고    scopus 로고
    • A new Bayesian method for nonparametric capture-recapture models in presence of heterogeneity
    • Tardella L (2002) A new Bayesian method for nonparametric capture-recapture models in presence of heterogeneity. Biometrika 89(4): 807-817.
    • (2002) Biometrika , vol.89 , Issue.4 , pp. 807-817
    • Tardella, L.1


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