Hierarchical Bayesian strategy for modeling correlated compositional data with observed zero counts

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Environmental and Ecological Statistics

• Publication date

  2012-03-09

• Fields of study

  Mathematics, Computer Science, Environmental Science

• Identifiers
  DOI 10.1007/s10651-012-0189-0
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Bayesian data analysis.

  2010influential reference
• Data Analysis Using Regression and Multilevel/Hierarchical Models

  2009cited by this paper
• Controlling for Overdispersion in Grouped Conditional Logit Models: A Computationally Simple Application of Dirichlet-Multinomial Regression

  2007cited by this paper
• Geostatistical Analysis of Compositional Data

  2004cited by this paper
• Proper multivariate conditional autoregressive models for spatial data analysis.

  2003cited by this paper
• Categorical Data Analysis

  2003cited by this paper
• Small Area Estimation

  2003cited by this paper
• A long-term record of Quercus decline, logging and fires in a southern Swedish Fagus-Picea forest

  2002cited by this paper
• Modelling daily multivariate pollutant data at multiple sites

  2002cited by this paper
• Bayesian spatial models for small area estimation of proportions

  2002cited by this paper
• Statistical Interpretation of Species Composition

  2001cited by this paper
• A Bivariate Bayes Method for Improving the Estimates of Mortality Rates With a Twofold Conditional Autoregressive Model

  2001influential reference
• Spatial modelling of multinomial data with latent structure: an application to geographical mapping of human gene and haplotype frequencies.

  2000cited by this paper
• Bayesian Animal Survival Estimation

  2000cited by this paper
• WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility

  2000influential reference
• Aspects of Multivariate Statistical Analysis in Geology

  1999cited by this paper
• Generalized Linear Models for Small-Area Estimation

  1998cited by this paper
• Natural variability of benthic species composition in the Delaware Bay

  1997cited by this paper
• POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES

  1996influential reference
• Risks of Using Improper Priors with Gibbs Sampling and Autocorrelated Errors

  1996cited by this paper
• On conditional and intrinsic autoregressions

  1995influential reference
• Bayesian Computation and Stochastic Systems

  1995influential reference
• Small Area Estimation: An Appraisal

  1994cited by this paper
• Time Series of Continuous Proportions

  1993cited by this paper
• Time series models for multivariate series of count data

  1993cited by this paper
• Inference from Iterative Simulation Using Multiple Sequences

  1992cited by this paper
• Bayesian image restoration, with two applications in spatial statistics

  1991influential reference
• Time Series Models for Count or Qualitative Observations

  1989cited by this paper
• Multi-dimensional multivariate Gaussian Markov random fields with application to image processing

  1988cited by this paper
• The Statistical Analysis of Compositional Data

  1986cited by this paper
• The statistical analysis of compositional data

  1983cited by this paper
• Spatial Interaction and the Statistical Analysis of Lattice Systems

  1974cited by this paper
• On the compound multinomial distribution, the multivariate β-distribution, and correlations among proportions

  1962cited by this paper
• Statistical Analysis of

  1954cited by this paper
• THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL

  1934cited by this paper
• Mathematical contributions to the theory of evolution.—On a form of spurious correlation which may arise when indices are used in the measurement of organs

  year unknowncited by this paper

• Compositional data analysis of smoke emissions from debris piles with low-density polyethylene

  2020influential citation
• Integrating multiple data sources in species distribution modeling: a framework for data fusion.

  2017cites this paper