Handbook of Bayesian variable selection. (2021)

• Record Type: Book
• Other Titles: Bayesian variable selection
• Further Information: Note: Edited by Mahlet Tadesse, Marina Vannucci.
• Editors: Tadesse, Mahlet; Vannucci, Marina, 1966-
• Contents: 1. Discrete Spike-and-Slab Priors: Models and Computational Aspects; Marina Vannucci 2. Recent Theoretical Advances with the Discrete Spike-and-Slab Priors; Shuang Zhou and Debdeep Pati 3. Theoretical and Computational Aspects of Continuous Spike-and-Slab Priors; Naveen N. Narisetty 4. Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO; Ray Bai, Veronika Ro˘cková, and Edward I. George 5. Adaptive Computational Methods for Bayesian Variable Selection; Jim E. Grin, Krys G. Latuszynski, and Mark F. J. Steel 6. Theoretical guarantees for the horseshoe and other global-local shrinkage priors; Stéphanie van der Pas 7. MCMC for Global-Local Shrinkage Priors in High-Dimensional Settings; Anirban Bhattacharya and James Johndrow 8. Variable Selection with Shrinkage Priors via Sparse Posterior Summaries; Yan Dora Zhang, Weichang Yu, and Howard D. Bondell 9. Bayesian Model Averaging in Causal Inference; Joseph Antonelli and Francesca Dominici 10. Variable Selection for Hierarchically-Related Outcomes: Models and Algorithms; Helene Rueux, Leonardo Bottolo, and Sylvia Richardson 11. Bayesian variable selection in spatial regression models; Brian J. Reich and Ana-Maria Staicu 12. Effect Selection and Regularization in Structured Additive Distributional Regression; Paul Wiemann, Thomas Kneib, and Helga Wagner 13. Sparse Bayesian State-Space and Time-Varying Parameter Models; Sylvia Fruhwirth-Schnatter and Peter Knaus 14. Bayesian estimation of single and multiple graphs; Christine B. Peterson and Francesco C. Stingo 15. Bayes Factors Based on g-Priors for Variable Selection; Gonzalo García-Donato and Mark F. J. Steel 16. Balancing Sparsity and Power: Likelihoods, Priors, and Misspecification; David Rossell and Francisco Javier Rubio 17. Variable Selection and Interaction Detection with Bayesian Additive Regression Trees; Carlos M. Carvalho, Edward I. George, P. Richard Hahn, and Robert E. McCulloch 18. Variable Selection for Bayesian Decision Tree Ensembles; Antonio R. Linero and Junliang Du 19. Stochastic Partitioning for Variable Selection in Multivariate Mixture of Regression Models; Stefano Monni and Mahlet G. Tadesse ;
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 519.542; Bayesian statistical decision theory; Variables (Mathematics); Regression analysis
• Languages: English
• ISBNs: 9781000510256; 9781000510201; 9781003089018
• Related ISBNs: 9780367543761
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.