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Activity Number: 217 - Recent Developments in Spatial Statistics
Type: Topic Contributed
Date/Time: Monday, July 31, 2017 : 2:00 PM to 3:50 PM
Sponsor: SSC
Abstract #322695 View Presentation
Title: Spatio-Temporal Models with Excess Zeros
Author(s): Mahmoud Torabi*
Companies: University of Manitoba
Keywords: Bayesian computation ; Hierarchical models ; Random effects ; Spatial models ; Spline ; Zero inflated models
Abstract:

In this talk, our aim is to study geographical and temporal variability of disease incidence when spatio-temporal count data have excess zeros. To that end, we consider random effects in zero-inflated Poisson models to investigate geographical and temporal patterns of disease incidence. Spatio-temporal models that employ conditionally autoregressive smoothing across the spatial dimension and B-spline smoothing over the temporal dimension are proposed. We illustrate our approach using a real dataset of monthly children asthma visits to hospital in the province of Manitoba, Canada, during the period April 2006 to March 2010. Performance of our approach is also evaluated through a simulation study.


Authors who are presenting talks have a * after their name.

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