Bayesian methodology for combining the results from different experiments when the specifications for pooling are uncertain
From MaRDI portal
Publication:5966677
DOI10.1093/biomet/79.3.593zbMath0775.62075OpenAlexW4243132233MaRDI QIDQ5966677
No author found.
Publication date: 7 December 1992
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/79.3.593
Related Items (12)
A Bayesian model averaging approach to analyzing categorical data with nonignorable nonresponse ⋮ Borrowing Strength with Nonexchangeable Priors over Subpopulations ⋮ Bayesian clustering for row effects models ⋮ An MCMC algorithm for bayesian analysis of Hierarchical Partition Models ⋮ Nonparametric estimation of survival functions by means of partial exchangeability structures ⋮ Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge) ⋮ Nonparametric Bayesian analysis of a proportion for a small area under nonignorable nonresponse ⋮ Improved inference for a linear mixed-effects model when the subpopulation effects are clustered ⋮ Genetic algorithms for the analysis of Bayesian hierarchical partition models ⋮ Statistical modelling using product partition models ⋮ Robust Bayesian analysis with partially exchangeable priors ⋮ Bayesian methodology for combining the results from different experiments when the specifications for pooling are uncertain. II
This page was built for publication: Bayesian methodology for combining the results from different experiments when the specifications for pooling are uncertain
