1,584
Views
49
CrossRef citations to date
0
Altmetric
Review Article

On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces

&
Pages 340-352 | Received 01 Mar 2012, Published online: 15 Mar 2013

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (6)

Xin Gu, Herbert Hoijtink & Joris Mulder. (2022) Bayesian One-Sided Variable Selection. Multivariate Behavioral Research 57:2-3, pages 264-278.
Read now
Carmen Armero, Stefano Cabras, María Eugenia Castellanos & Alicia Quirós. (2019) Two-Stage Bayesian Approach for GWAS With Known Genealogy. Journal of Computational and Graphical Statistics 28:1, pages 197-204.
Read now
Yingbo Li & Merlise A. Clyde. (2018) Mixtures of -Priors in Generalized Linear Models. Journal of the American Statistical Association 113:524, pages 1828-1845.
Read now
Daniel Taylor-Rodriguez, Andrew Womack & Nikolay Bliznyuk. (2016) Bayesian Variable Selection on Model Spaces Constrained by Heredity Conditions. Journal of Computational and Graphical Statistics 25:2, pages 515-535.
Read now
P. Richard Hahn & Carlos M. Carvalho. (2015) Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective. Journal of the American Statistical Association 110:509, pages 435-448.
Read now
Andrew J. Womack, Luis León-Novelo & George Casella. (2014) Inference From Intrinsic Bayes’ Procedures Under Model Selection and Uncertainty. Journal of the American Statistical Association 109:507, pages 1040-1053.
Read now

Articles from other publishers (43)

Hongyu Wu & Jonathan R. Bradley. (2024) Global–local shrinkage multivariate logit-beta priors for multiple response-type data. Statistics and Computing 34:2.
Crossref
F Castelletti & S Peluso. (2024) Bayesian learning of network structures from interventional experimental data. Biometrika 111:1, pages 195-214.
Crossref
Gonzalo García-Donato, Stefano Cabras & María Eugenia Castellanos. (2023) Model Uncertainty Quantification in Cox Regression. Biometrics 79:3, pages 1726-1736.
Crossref
Arnab Kumar Maity & Sanjib Basu. (2023) Highest Posterior Model Computation and Variable Selection via Simulated Annealing. The New England Journal of Statistics in Data Science, pages 200-207.
Crossref
Xitong Liang, Samuel Livingstone & Jim Griffin. (2022) Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection. Statistics and Computing 32:5.
Crossref
Andrzej Cieślik, Oleg Gurshev & Sarhad Hamza. (2021) Between the Eurozone crisis and the Brexit: the decade of British outward FDI into Europe. Empirical Economics 63:3, pages 1159-1192.
Crossref
Zihang Lu & Wendy Lou. (2022) Bayesian approaches to variable selection: a comparative study from practical perspectives. The International Journal of Biostatistics 18:1, pages 83-108.
Crossref
Federico Castelletti & Guido Consonni. (2021) Bayesian Causal Inference in Probit Graphical Models. Bayesian Analysis 16:4.
Crossref
Maria M. Barbieri, James O. BergerEdward I. GeorgeVeronika Ročková. (2021) The Median Probability Model and Correlated Variables. Bayesian Analysis 16:4.
Crossref
Federico Castelletti & Stefano Peluso. (2021) Equivalence class selection of categorical graphical models. Computational Statistics & Data Analysis 164, pages 107304.
Crossref
Federico Castelletti & Alessandro Mascaro. (2021) Structural learning and estimation of joint causal effects among network-dependent variables. Statistical Methods & Applications 30:5, pages 1289-1314.
Crossref
Mariam Camarero, Sergi Moliner & Cecilio Tamarit. (2021) Is there a euro effect in the drivers of US FDI? New evidence using Bayesian model averaging techniques. Review of World Economics 157:4, pages 881-926.
Crossref
Andrzej Cieślik & Oleg Gurshev. (2021) Factor Endowments, Economic Integration, Round-Tripping, and Inward FDI: Evidence from the Baltic Economies. Journal of Risk and Financial Management 14:8, pages 348.
Crossref
J E Griffin, K G Łatuszyński & M F J Steel. (2021) In search of lost mixing time: adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p . Biometrika 108:1, pages 53-69.
Crossref
María Eugenia Castellanos, Gonzalo García-Donato & Stefano Cabras. (2021) A Model Selection Approach for Variable Selection with Censored Data. Bayesian Analysis 16:1.
Crossref
Federico Castelletti & Guido Consonni. (2020) Bayesian inference of causal effects from observational data in Gaussian graphical models. Biometrics 77:1, pages 136-149.
Crossref
Mariam Camarero, Sergi Moliner & Cecilio Tamarit. (2021) Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model Averaging. Japan and the World Economy 57, pages 101058.
Crossref
Gonzalo García-Donato, María Eugenia Castellanos & Alicia Quirós. (2021) Bayesian Variable Selection with Applications in Health Sciences. Mathematics 9:3, pages 218.
Crossref
Kitty Yuen Yi Wan & Jim E. Griffin. (2021) An adaptive MCMC method for Bayesian variable selection in logistic and accelerated failure time regression models. Statistics and Computing 31:1.
Crossref
Danlu Guo, Shuci Liu, Dhananjay Singh & Andrew W. Western. (2020) Predicting quantiles of water quality from catchment characteristics. Hydrological Processes 35:1.
Crossref
Federico Castelletti. (2020) Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures. International Statistical Review 88:3, pages 752-775.
Crossref
Mark F. J. Steel. (2020) Model Averaging and Its Use in Economics. Journal of Economic Literature 58:3, pages 644-719.
Crossref
Stefano Cabras. (2020) A Dirichlet Process Prior Approach for Covariate Selection. Entropy 22:9, pages 948.
Crossref
Arnaud Dufays & Jeroen V.K. Rombouts. (2020) Relevant parameter changes in structural break models. Journal of Econometrics 217:1, pages 46-78.
Crossref
Cristiano Villa & Jeong Eun Lee. (2020) A Loss-Based Prior for Variable Selection in Linear Regression Methods. Bayesian Analysis 15:2.
Crossref
Naveen Naidu Narisetty. 2020. Principles and Methods for Data Science. Principles and Methods for Data Science 207 248 .
Daniel Andrade & Kenji Fukumizu. (2020) Disjunct support spike‐and‐slab priors for variable selection in regression under quasi‐sparseness. Stat 9:1.
Crossref
Mariam Camarero, Laura Montolio & Cecilio Tamarit. (2019) What drives German foreign direct investment? New evidence using Bayesian statistical techniques. Economic Modelling 83, pages 326-345.
Crossref
Wei Qian, Craig A. Rolling, Gang Cheng & Yuhong Yang. (2019) On the Forecast Combination Puzzle. Econometrics 7:3, pages 39.
Crossref
Yingbo Li, Robert Lund & Anuradha Hewaarachchi. (2019) Multiple changepoint detection with partial information on changepoint times. Electronic Journal of Statistics 13:2.
Crossref
Anabel Forte, Gonzalo Garcia‐Donato & Mark Steel. (2018) Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression. International Statistical Review 86:2, pages 237-258.
Crossref
Manuel Lozano, Lara Manyes, Juanjo Peiró, Adina Iftimi & José María Ramada. (2018) Strategic procedure in three stages for the selection of variables to obtain balanced results in public health research. Cadernos de Saúde Pública 34:7.
Crossref
Marzieh Khakifirooz, Chen Fu Chien & Ying-Jen Chen. (2018) Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0. Applied Soft Computing 68, pages 990-999.
Crossref
Rotimi Ogundeji, Ismaila Adeleke & Ray Okafor. (2018) An assessment of predictive performance of Zellner’s g-priors in Bayesian model averaging. Model Assisted Statistics and Applications 13:1, pages 63-71.
Crossref
Aviral K. Tiwari, Anabel Forte, Gonzalo Garcia-Donato & Angeliki N. Menegaki. 2018. The Economics and Econometrics of the Energy-Growth Nexus. The Economics and Econometrics of the Energy-Growth Nexus 187 227 .
David Puelz, P. Richard Hahn & Carlos M. Carvalho. (2017) Variable Selection in Seemingly Unrelated Regressions with Random Predictors. Bayesian Analysis 12:4.
Crossref
Minerva Mukhopadhyay & Tapas Samanta. (2016) A mixture of g-priors for variable selection when the number of regressors grows with the sample size. TEST 26:2, pages 377-404.
Crossref
Jan R. Magnus & Giuseppe De Luca. (2014) WEIGHTED‐AVERAGE LEAST SQUARES (WALS): A SURVEY. Journal of Economic Surveys 30:1, pages 117-148.
Crossref
Mariam Camarero, Anabel Forte, Gonzalo Garcia-Donato, Yurena Mendoza & Javier Ordoñez. (2015) Variable selection in the analysis of energy consumption–growth nexus. Energy Economics 52, pages 207-216.
Crossref
Joyee Ghosh. (2015) Bayesian model selection using the median probability model. WIREs Computational Statistics 7:3, pages 185-193.
Crossref
Mario Trottini, Maurizio Bossù, Denise Corridore, Gaetano Ierardo, Valeria Luzzi, Matteo Saccucci & Antonella Polimeni. (2015) Assessing Risk Factors for Dental Caries: A Statistical Modeling Approach. Caries Research 49:3, pages 226-235.
Crossref
Fei Liu, Sounak Chakraborty, Fan Li, Yan Liu & Aurelie C. Lozano. (2014) Bayesian Regularization via Graph Laplacian. Bayesian Analysis 9:2.
Crossref
David Puelz, P. Richard Hahn & Carlos M. Carvalho. (2016) Variable Selection in Seemingly Unrelated Regressions with Random Predictors. SSRN Electronic Journal.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.