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Journal of Statistical Computation and Simulation Volume 68, 2000 - Issue 1
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Original Articles

Stochastic search variable selection for log-linear models

Ioannis Ntzoufras Department of Statistics, Athens University of Economics and Business, Greece E-mail: [email protected]
,
Jonathan J. Forster Department of Mathematics, University of Southampton, UKCorrespondence[email protected]
&
Petros Dellaportas Department of Statistics, Athens University of Economics and Business, Greece E-mail: [email protected]
Pages 23-37 | Received 23 Sep 1998, Published online: 20 Mar 2007

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Laura Deldossi & Roberta Paroli. (2015) Bayesian variable selection in a class of mixture models for ordinal data: a comparative study. Journal of Statistical Computation and Simulation 85:10, pages 1926-1944.
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Roberta Paroli & Luigi Spezia. (2007) Bayesian Variable Selection in Markov Mixture Models. Communications in Statistics - Simulation and Computation 37:1, pages 25-47.
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Articles from other publishers (15)

Georgios Seitidis, Stavros Nikolakopoulos, Ioannis Ntzoufras & Dimitris Mavridis. (2023) Inconsistency identification in network meta‐analysis via stochastic search variable selection. Statistics in Medicine 42:26, pages 4850-4866.
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Jorge N. Tendeiro & Henk A. L. Kiers. (2022) With Bayesian estimation one can get all that Bayes factors offer, and more. Psychonomic Bulletin & Review 30:2, pages 534-552.
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Alessio Farcomeni. (2020) Population size estimation with interval censored counts and external information: Prevalence of multiple sclerosis in Rome. Biometrical Journal 62:4, pages 945-956.
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Massimiliano Russo, Daniele Durante & Bruno Scarpa. (2018) Bayesian inference on group differences in multivariate categorical data. Computational Statistics & Data Analysis 126, pages 136-149.
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Konstantinos Perrakis & Ioannis Ntzoufras. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 6 .
James H. Albert. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Dimitris Mavridis & Ioannis Ntzoufras. (2013) Stochastic search item selection for factor analytic models. British Journal of Mathematical and Statistical Psychology 67:2, pages 284-303.
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Maria KateriMaria Kateri. 2014. Contingency Table Analysis. Contingency Table Analysis 261 269 .
Veronika Rockova, Emmanuel Lesaffre, Jolanda Luime & Bob Löwenberg. (2012) Hierarchical Bayesian formulations for selecting variables in regression models. Statistics in Medicine 31:11-12, pages 1221-1237.
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O. Flores, V. Rossi & F. Mortier. (2009) Autocorrelation offsets zero-inflation in models of tropical saplings density. Ecological Modelling 220:15, pages 1797-1809.
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Michael D. Swartz, Robert K. Yu & Sanjay Shete. (2008) Finding factors influencing risk: Comparing Bayesian stochastic search and standard variable selection methods applied to logistic regression models of cases and controls. Statistics in Medicine 27:29, pages 6158-6174.
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Michael D. Swartz, Duncan C. Thomas & E. Warwick Daw. (2007) Model selection and Bayesian methods in statistical genetics: Summary of Group 11 contributions to Genetic Analysis Workshop 15. Genetic Epidemiology 31:S1, pages S96-S102.
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James H. Albert. 2005. Encyclopedia of Biostatistics. Encyclopedia of Biostatistics.
James H. Albert. 2005. Bayesian Thinking - Modeling and Computation. Bayesian Thinking - Modeling and Computation 869 889 .
Merlise Clyde & Edward I. George. (2004) Model Uncertainty. Statistical Science 19:1.
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