SEARCH

SEARCH BY CITATION

References

  • Albert, J. & Chib, S. (1993) Analysis of binary and polychotomous response data. Journal of the American Statistical Association, 88, 669679.
  • Alldredge, M., Pollock, K., Simons, T., Collazo, J. & Shriner, S. (2007) Time-of detection method for estimating abundance from point-count surveys. Auk, 124, 653664.
  • Banerjee, S., Carlin, B. & Gelfand, A.E. (2004) Hierarchical Modeling and Analysis of Spatial Data. Chapman & Hall/CRC, Boca Raton, Florida.
  • Bates, D. & Maechler, M. (2011) Matrix: Sparse and Dense Matrix Classes and Methods. R package version 1.0–2. http://CRAN.R-project.org/package=Matrix
  • Bengtson, J., Hiruki-Raring, L., Simpkins, M. & Boveng, P. (2005) Ringed and bearded seal densities in the eastern Chuckchi Sea, 1999–2000. Polar Biology, 28, 833845.
  • Besag, J. & Kooperberg, C. (1995) On conditional and intrinsic autoregressions. Biometrika, 82, 733746.
  • Besag, J., York, J. & Mollie, A. (1991) Bayesian image-restoration, with 2 applications in spatial statistics. Annals of the Institute of Statistical Mathematics, 43, 120.
  • Buckland, S., Anderson, D., Burnham, K., Laake, J., Borchers, D. & Thomas, L. (2001) Introduction to Distance Sampling: Estimating the Abundance of Biological Populations. Oxford University Press, Oxford, UK.
  • Celeux, G., Forbes, F., Robert, C. & Titterington, D. (2006) Deviance information criterion for missing data models. Bayesian Analysis, 1, 651674.
  • Conn, P. & Cooch, E. (2009) Multistate capture–recapture analysis under imperfect state observation: an application to disease models. Journal of Applied Ecology, 46, 486492.
  • Diefenbach, D.R., Marshall, M., Mattice, J. & Brauning, D. (2007) Incorporating availability for detection in estimates of bird abundance. The Auk, 124, 96106.
  • Gelfand, A.E. & Ghosh, S. (1998) Model choice: A minimum posterior predictive loss approach. Biometrika, 85, 111.
  • Gelman, A., Carlin, J.B., Stern, H.S. & Rubin, D.B. (2004) Bayesian Data Analysis, 2nd edn. Chapman and Hall, Boca Ration, Florida.
  • Giudice, J., Fieberg, J. & Lenarz, M. (2012) Spending degrees of freedom in a poor economy: A case study of building a sightability model for moose in northeastern Minnesota. Journal of Wildlife Management, 76, 7587.
  • Gomez-Diaz, E., Doherty, P.F.J., Duneau, D. & McCoy, K. (2010) Cryptic vector divergence masks vector-specific patterns of infection: an example from the marine cycle of Lyme borreliosis. Evolutionary Applications, 3, 391401.
  • Hamel, S., Yoccoz, N.G. & Gaillard, J.-M. (2012) Statistical evaluation of parameters estimating autocorrelation and individual heterogeneity in longitudinal studies. Methods in Ecology and Evolution, 3, 731742.
  • Heitjan, D. & Basu, S. (1996) Distinguishing “missing at random” and “missing completely at random”. The American Statistician, 50, 207213.
  • Hooten, M., Larsen, D. & Wikle, C. (2003) Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model. Landscape Ecology, 18, 487502.
  • Johnson, D., Conn, P., Hooten, M., Ray, J. & Pond, B. (in press) Spatial occupancy models for large data sets. Ecology.
  • Lele, S., Moreno, M. & Bayne, E. (2012) Dealing with detection error in site occupancy surveys: what can we do with a single survey? Journal of Plant Ecology, 5, 2231.
  • Link, W. & Barker, R. (2010) Bayesian Inference with Ecological Applications. Academic Press, London, UK.
  • Little, R. & Rubin, D. (1987) Statistical Analysis with Missing Data. Wiley, New York.
  • Lunn, D., Thomas, A., Best, N. & Spiegelhalter, D. (2000) WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing, 10, 325337.
  • MacKenzie, D., Nichols, J., Lachman, G., Droege, S., Royle, J. & Langtimm, C. (2002) Estimating site occupancy rates when detection probabilities are less than one. Ecology, 83, 22482255.
  • Marsh, H. & Sinclair, D. (1989) Correcting for visibility bias in strip transect aerial surveys of aquatic fauna. Journal of Wildife Management, 53, 10171024.
  • McLaren, I. (1961) Methods of determining the numbers and availability of ring seals in the eastern Canadian Arctic. Arctic, 14, 162175.
  • Nakagawa, S. & Freckleton, R. (2008) Missing inaction: the dangers of ignoring missing data. Trends in Ecology & Evolution, 23, 592596.
  • Nichols, J., Thomas, L. & Conn, P. (2009) Inferences about landbird abundance from count data: recent advances and future directions. Modeling demographic processes in marked populations (eds D. Thomson, E. Cooch & M. Conroy), vol. 3. Environmental and Ecological Statistics Series, pp. 201236. Springer, New York.
  • Pollock, K., Marsh, H., Lawler, I. & Alldredge, M. (2006) Estimating animal abundance in heterogeneous environments: An application to aerial surveys for Dugongs. Journal of Willdife Management, 70, 255262.
  • Pradel, R. (2005) Multievent: An extension of multistate capture–recapture models to uncertain states. Biometrics, 61, 442447.
  • R Development Core Team (2007) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0.
  • Royle, J. & Dorazio, R. (2008) Hierarchical modeling and inference in ecology. Academic Press, London, UK.
  • Royle, J. & Kery, M. (2007) A Bayesian state-space formulation of dynamic occupancy models. Ecology, 88, 18131823.
  • Rubin, D.B. (1976) Inference and missing data. Biometrika, 63, 581592.
  • Rue, H. & Held, L. (2005) Gaussian Markov Random Fields. Chapman & Hall/CR, Boca Raton, Florida.
  • Spiegelhalter, D.J., Best, N.G., Carlin, B.P. & der Linde, A. (2002) Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society Series B, 64, 583639.
  • Steinhorst, R. & Samuel, M. (1989) Sightability adjustment methods for aerial surveys of wildlife populations. Biometrics, 45, 415425.
  • Thompson, K. (2007) Use of site occupancy models to estimate prevalence of Myxobolus cerebralis infection in trout. Journal of Aquatic Animal Health, 19, 813.
  • Ver Hoef, J., London, J. & Boveng, P. (2010) Fast computing of some generalized linear mixed pseudo-models with temporal autocorrelation. Computational Statistics, 25, 3955.
  • Williams, B.K., Nichols, J.D. & Conroy, M.J. (2002) Analysis and Management of Animal Populations. Academic Press, San Diego, California.