STATISTICS COLLOQUIUM
Marcos Prates
Professor
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
Where geography lives?
A projection approach for spatial confounding
ABSTRACT
Spatial confounding between the spatial random effects and fixed effects covariates has been recently discovered and showed that it may bring misleading interpretation to the model results. Solutions to alleviate this problem are based on decomposing the spatial random effect and fitting a restricted spatial regression. In this paper, we propose a different approach: a transformation of the geographic space to ensure that the unobserved spatial random effect added to the regression is orthogonal to the fixed effects covariates. Our approach, named SPOCK, has the additional benefit of providing a fast and simple computational method to estimate the parameters. Furthermore, it does not constrain the distribution class assumed for the spatial error term. A simulation study and a real data analysis are presented to better understand the advantages of the new method in comparison with the existing ones
Joint work with Renato Martins Assunção and Erica Castilho Rodrigues
DATE: Wednesday, August 17, 2016
TIME: 11:00 am
PLACE: Philip E. Austin Bldg., Rm. 344
Coffee will be served at 10:30 am in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu