The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Estimating normal means with a conjugate style dirichlet process prior
Abstract
The problem of estimating many normal means is approached by means of an hierarchical model. The hierarchical model is the standard conjugate model with one exception: the normal distribution at the middle stage is replaced by a Dirichlet process with a normal shape. Estimation for this model is accomplished through the implementation of the Gibbs sampler (see Escobar and West,1991)Thisarticle describes a new Gibbs sampler algorithm that is implemented on a collapsed state space Results that apply to a general setting are obtained, suggesting that a collapse of the state space willimprove the rate of convergence of the Gibbs sampler. An example shows that the proposed collapse of the state space may result in a dramatically improved algorithm
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Cites
Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606
Bayes Estimates for the Linear Model
Lindley, D. V., & Smith, A. F. M. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00885.x · Cited by 2,025
Cited by
A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
Korthauer, K. D., Chu, L.-F., Newton, M. A., Li, Y., Thomson, J., Stewart, R., & Kendziorski, C. (2016) · Genome Biology · doi:10.1186/s13059-016-1077-y · Cited by 273
Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease
White, N., Johnson, H., Silburn, P., & Mengersen, K. (2012) · Journal of Applied Statistics · doi:10.1080/02664763.2012.710897 · Cited by 9
Metadata
- Authors
- Maceachern, S. N.
- Venue
- Communications in Statistics - Simulation and Computation
- Publisher
- Informa UK Limited
- Published
- 1994-01
- Volume
- 23
- Issue
- 3
- Pages
- 727-741
- ISSN
- 0361-0918 (ISSN-L)
- 1532-4141
- OpenAlex
- W2053405531
- Cited by
- 407
- References
- 2
- FWCI
- 5.60
- Type
- journal article
- Language
- en
- Open access
- closed
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