IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v66y2010i3p772-782.html
   My bibliography  Save this article

Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression

Author

Listed:
  • Brian J. Reich
  • Montserrat Fuentes
  • Amy H. Herring
  • Kelly R. Evenson

Abstract

No abstract is available for this item.

Suggested Citation

  • Brian J. Reich & Montserrat Fuentes & Amy H. Herring & Kelly R. Evenson, 2010. "Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression," Biometrics, The International Biometric Society, vol. 66(3), pages 772-782, September.
    • Handle: RePEc:bla:biomet:v:66:y:2010:i:3:p:772-782
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01333.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Smith, Michael & Fahrmeir, Ludwig, 2007. "Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 417-431, June.
    2. Huang, Hsin-Cheng & Chen, Chun-Shu, 2007. "Optimal Geostatistical Model Selection," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1009-1024, September.
    3. Zhang, Min & Strawderman, Robert L. & Cowen, Mark E. & Wells, Martin T., 2006. "Bayesian Inference for a Two-Part Hierarchical Model: An Application to Profiling Providers in Managed Health Care," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 934-945, September.
    4. Ross, Catherine E., 2000. "Walking, exercising, and smoking: does neighborhood matter?," Social Science & Medicine, Elsevier, vol. 51(2), pages 265-274, July.
    5. Paul S. Albert & Joannie Shen, 2005. "Modelling longitudinal semicontinuous emesis volume data with serial correlation in an acupuncture clinical trial," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(4), pages 707-720, August.
    6. Brian J. Reich & James S. Hodges & Vesna Zadnik, 2006. "Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease-Mapping Models," Biometrics, The International Biometric Society, vol. 62(4), pages 1197-1206, December.
    7. Paciorek, Christopher J., 2007. "Computational techniques for spatial logistic regression with large data sets," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3631-3653, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhong, Yan & Sang, Huiyan & Cook, Scott J. & Kellstedt, Paul M., 2023. "Sparse spatially clustered coefficient model via adaptive regularization," Computational Statistics & Data Analysis, Elsevier, vol. 177(C).
    2. Hu, Guanyu, 2021. "Spatially varying sparsity in dynamic regression models," Econometrics and Statistics, Elsevier, vol. 17(C), pages 23-34.
    3. Guanyu Hu & Yishu Xue & Fred Huffer, 2021. "A Comparison of Bayesian Accelerated Failure Time Models with Spatially Varying Coefficients," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 541-557, November.
    4. Laura F. Boehm Vock & Brian J. Reich & Montserrat Fuentes & Francesca Dominici, 2015. "Spatial variable selection methods for investigating acute health effects of fine particulate matter components," Biometrics, The International Biometric Society, vol. 71(1), pages 167-177, March.
    5. Wenning Feng & Abdhi Sarkar & Chae Young Lim & Tapabrata Maiti, 2016. "Variable selection for binary spatial regression: Penalized quasi‐likelihood approach," Biometrics, The International Biometric Society, vol. 72(4), pages 1164-1172, December.
    6. Guanyu Hu & Yishu Xue & Zhihua Ma, 2020. "Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects," Papers 2004.12022, arXiv.org, revised Aug 2021.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Yan & Simpson, Douglas, 2010. "Unified computational methods for regression analysis of zero-inflated and bound-inflated data," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1525-1534, June.
    2. Ghosh, Pulak & Albert, Paul S., 2009. "A Bayesian analysis for longitudinal semicontinuous data with an application to an acupuncture clinical trial," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 699-706, January.
    3. K. Shuvo Bakar & Nicholas Biddle & Philip Kokic & Huidong Jin, 2020. "A Bayesian spatial categorical model for prediction to overlapping geographical areas in sample surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 535-563, February.
    4. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    5. Xinchao Luo & Lixing Zhu & Hongtu Zhu, 2016. "Single‐index varying coefficient model for functional responses," Biometrics, The International Biometric Society, vol. 72(4), pages 1275-1284, December.
    6. Brian J. Reich & Shu Yang & Yawen Guan & Andrew B. Giffin & Matthew J. Miller & Ana Rappold, 2021. "A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications," International Statistical Review, International Statistical Institute, vol. 89(3), pages 605-634, December.
    7. Douglas R. M. Azevedo & Marcos O. Prates & Dipankar Bandyopadhyay, 2021. "MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 464-491, September.
    8. Anne Mette Bender & Ichiro Kawachi & Torben Jørgensen & Charlotta Pisinger, 2015. "Neighborhood Deprivation Is Strongly Associated with Participation in a Population-Based Health Check," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-10, June.
    9. Zhong, Yan & Sang, Huiyan & Cook, Scott J. & Kellstedt, Paul M., 2023. "Sparse spatially clustered coefficient model via adaptive regularization," Computational Statistics & Data Analysis, Elsevier, vol. 177(C).
    10. Dirk Gansefort & Tilman Brand & Christina Princk & Hajo Zeeb, 2018. "Community Readiness for the Promotion of Physical Activity in Older Adults—A Cross-Sectional Comparison of Rural and Urban Communities," IJERPH, MDPI, vol. 15(3), pages 1-11, March.
    11. Ying C. MacNab, 2018. "Some recent work on multivariate Gaussian Markov random fields," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 497-541, September.
    12. MacTavish, Robert & Bixby, Honor & Cavanaugh, Alicia & Agyei-Mensah, Samuel & Bawah, Ayaga & Owusu, George & Ezzati, Majid & Arku, Raphael & Robinson, Brian & Schmidt, Alexandra M. & Baumgartner, Jill, 2023. "Identifying deprived “slum” neighbourhoods in the Greater Accra Metropolitan Area of Ghana using census and remote sensing data," World Development, Elsevier, vol. 167(C).
    13. Liu, Lei & Strawderman, Robert L. & Cowen, Mark E. & Shih, Ya-Chen T., 2010. "A flexible two-part random effects model for correlated medical costs," Journal of Health Economics, Elsevier, vol. 29(1), pages 110-123, January.
    14. Lång, Elisabeth & Nystedt, Paul, 2018. "Blowing up money? The earnings penalty of smoking in the 1970s and the 21st century," Journal of Health Economics, Elsevier, vol. 60(C), pages 39-52.
    15. Michelle F. Miranda & Hongtu Zhu & Joseph G. Ibrahim, 2013. "Bayesian Spatial Transformation Models with Applications in Neuroimaging Data," Biometrics, The International Biometric Society, vol. 69(4), pages 1074-1083, December.
    16. Michael L. Lavine & James S. Hodges, 2012. "On Rigorous Specification of ICAR Models," The American Statistician, Taylor & Francis Journals, vol. 66(1), pages 42-49, February.
    17. Kendzor, Darla E. & Reitzel, Lorraine R. & Mazas, Carlos A. & Cofta-Woerpel, Ludmila M. & Cao, Yumei & Ji, Lingyun & Costello, Tracy J. & Vidrine, Jennifer Irvin & Businelle, Michael S. & Li, Yisheng , 2012. "Individual- and area-level unemployment influence smoking cessation among African Americans participating in a randomized clinical trial," Social Science & Medicine, Elsevier, vol. 74(9), pages 1394-1401.
    18. Karen A. Snedker & Jerald R. Herting & Emily Walton, 2009. "Contextual Effects and Adolescent Substance Use: Exploring the Role of Neighborhoods," Social Science Quarterly, Southwestern Social Science Association, vol. 90(5), pages 1272-1297, December.
    19. Wesley Darling & Jacquelyn Broader & Adam Cohen & Susan Shaheen, 2023. "Going My Way? Understanding Curb Management and Incentive Policies to Increase Pooling Service Use and Public Transit Linkages in the San Francisco Bay Area," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    20. Jina Mahmoudi & Lei Zhang, 2022. "Health Impacts of the Built and Social Environments, and Travel Behavior: The Case of the Sunshine State," IJERPH, MDPI, vol. 19(15), pages 1-42, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:66:y:2010:i:3:p:772-782. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.