Reference health

Variable Selection via Gibbs Sampling

https://doi.org/10.1080/01621459.1993.10476353
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13/13 checkable references clean · checked 2026-08-04

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

8 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 13 checked references that resolve
resolves10.1080/00031305.1992.10475878
Explaining the Gibbs Sampler
resolves10.1080/01621459.1990.10474968
Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling
resolves10.1080/01621459.1990.10476213
Sampling-Based Approaches to Calculating Marginal Densities
resolves10.21236/ADA241408
Model Selection and Accounting for Model Uncertainty in Graphical Models Using OCCAM's Window
resolves10.1007/978-1-4899-2939-6
Subset Selection in Regression
resolves10.1080/01621459.1988.10478694
Bayesian Variable Selection in Linear Regression
resolves10.1093/biomet/71.3.575
An alternative to the standard Bayesian procedure for discrimination between normal linear models
resolves10.1111/j.2517-6161.1980.tb01122.x
Bayes Factors and Choice Criteria for Linear Models
resolves10.1016/0304-4076(90)90120-I
Effects of collinearity on information about regression coefficients
resolves10.2307/2348514
Hierarchical Bayesian Analysis Using Monte Carlo Integration: Computing Posterior Distributions When There are Many Possible Models
resolves10.1080/01621459.1987.10478458
The Calculation of Posterior Distributions by Data Augmentation
resolves10.1007/BF01889985
Bayesian analysis of outlier problems using the Gibbs sampler
The 8 references without a DOI — listed, not checked
no DOI — not checkedDiebolt , J. and Robert , C. “Estimation of Finite Mixture Distributions Through Bayesian Sampling . Journal of the Royal Statistical Society , (in press), Ser. B
no DOI — not checkedDraper , N. and Smith , H. 1981 . Applied Regression Analysis, , 2nd ed. , New York : John Wiley .
no DOI — not checkedLempers , F. B. 1971 . Posterior Probabilities of Alternative Linear Models , Rotterdam : Rotterdam University Press .
no DOI — not checkedPoirier , D. J. 1985 . “Bayesian Hypothesis Testing in Linear Models With Continuously Induced Conjugate Priors Across Hypotheses,” . In Bayesian Statistics 2 , Edited by: Bernardo , J. M. , DeGroot , M. H. , Lindley , D. V. and Smith , A. F. M. 711 – 722 . New York : Elsevier .
no DOI — not checkedSpiegelhalter , D. J. and Smith , A. F. M. 1982 . “Bayes Factors for Linear and Log-Linear Models With Vague Prior Information,” . Journal of the Royal Statistical Society , 44 : 377 – 87 . Ser. B
no DOI — not checkedTukey , J. W. 1977 . Exploratory Data Analysis , Reading , MA : Addison-Wesley .
no DOI — not checkedZellner , A. 1984 . “Posterior Odds Ratios for Regression Hypotheses: General Considerations and Some Specific Results,” . In Basic Issues in Econometrics , Edited by: Zellner , A. 275 – 305 . Chicago : University of Chicago Press .
no DOI — not checkedZellner , A. 1986 . “On Assessing Prior Distributions and Bayesian Regression Analysis with g Prior Distributions,” . In Bayesian Inference and Decision Techniques , Edited by: Goel , P. and Zellner , A. 233 – 243 . New York : Elsevier .
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