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Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior

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  • Robert M. Dorazio
  • Bhramar Mukherjee
  • Li Zhang
  • Malay Ghosh
  • Howard L. Jelks
  • Frank Jordan

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Suggested Citation

  • Robert M. Dorazio & Bhramar Mukherjee & Li Zhang & Malay Ghosh & Howard L. Jelks & Frank Jordan, 2008. "Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior," Biometrics, The International Biometric Society, vol. 64(2), pages 635-644, June.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:2:p:635-644
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00873.x
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    References listed on IDEAS

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    1. Robert M. Dorazio & J. Andrew Royle, 2003. "Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals," Biometrics, The International Biometric Society, vol. 59(2), pages 351-364, June.
    2. J. Andrew Royle, 2006. "Site Occupancy Models with Heterogeneous Detection Probabilities," Biometrics, The International Biometric Society, vol. 62(1), pages 97-102, March.
    3. Teh, Yee Whye & Jordan, Michael I. & Beal, Matthew J. & Blei, David M., 2006. "Hierarchical Dirichlet Processes," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1566-1581, December.
    4. William A. Link, 2003. "Nonidentifiability of Population Size from Capture-Recapture Data with Heterogeneous Detection Probabilities," Biometrics, The International Biometric Society, vol. 59(4), pages 1123-1130, December.
    5. Gelfand, Alan E. & Kottas, Athanasios & MacEachern, Steven N., 2005. "Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1021-1035, September.
    6. Dorazio, Robert M. & Royle, J. Andrew, 2005. "Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 389-398, June.
    7. Robert M. Dorazio & Howard L. Jelks & Frank Jordan, 2005. "Improving Removal-Based Estimates of Abundance by Sampling a Population of Spatially Distinct Subpopulations," Biometrics, The International Biometric Society, vol. 61(4), pages 1093-1101, December.
    8. Sinha, Samiran & Mukherjee, Bhramar & Ghosh, Malay & Mallick, Bani K. & Carroll, Raymond J., 2005. "Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 591-601, June.
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    Cited by:

    1. Lijoi, Antonio & Nipoti, Bernardo & Prünster, Igor, 2014. "Dependent mixture models: Clustering and borrowing information," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 417-433.
    2. Zhang, Hongmei & Ghosh, Kaushik & Ghosh, Pulak, 2012. "Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2562-2573.
    3. Kyung, Minjung & Gill, Jeff & Casella, George, 2009. "Characterizing the variance improvement in linear Dirichlet random effects models," Statistics & Probability Letters, Elsevier, vol. 79(22), pages 2343-2350, November.
    4. Antonio Canale & Igor Prünster, 2017. "Robustifying Bayesian nonparametric mixtures for count data," Biometrics, The International Biometric Society, vol. 73(1), pages 174-184, March.
    5. Carota, Cinzia & Nava, Consuelo Rubina & Soldani, Irene & Ghiglione, Claudio & Schiapparelli, Stefano, 2015. "Statistical models for species richness in the Ross Sea," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201531, University of Turin.
    6. Luis G. León-Novelo & Peter Müller & Wadih Arap & Mikhail Kolonin & Jessica Sun & Renata Pasqualini & Kim-Anh Do, 2013. "Semiparametric Bayesian Inference for Phage Display Data," Biometrics, The International Biometric Society, vol. 69(1), pages 174-183, March.
    7. William A. Link & Sarah J. Converse & Amy A. Yackel Adams & Nathan J. Hostetter, 2018. "Analysis of Population Change and Movement Using Robust Design Removal Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(4), pages 463-477, December.
    8. Antonio Lijoi & Bernardo Nipoti & Igor Prünster, 2013. "Dependent mixture models: clustering and borrowing information," DEM Working Papers Series 046, University of Pavia, Department of Economics and Management.

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