We consider three problems of a spatial nature: the Voronoi estimator for intensity of a spatial Poisson process, optimal allocation of point-type resources, and the connection between air pollutants and climate change policy. (1) The Voronoi estimator has recently been proposed for estimating neuronal density. We derive its statistical properties, propose extensions in methodology and application, and draw connections to the field of stochastic geometry. (2) The optimal spatial allocation of resources is a long standing operations research problem with applications in public health and services. We cast the challenge as an image segmentation problem and suggest a Bayesian / MCMC method for finding flexible solutions to a range of variants. (3) Legislation to cap and trade the emissions of greenhouse gases recently passed in the House of Representatives and the recent Copenhagen climate summit renewed the world's attention on global warming. We add to the debate focused on economic factors by highlighting health gains attributable to ancillary mitigation of harmful air pollutants.
Seminar HandoutsI | Attachment | Action | Size | Date | Who | Comment |
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02.18.10BarrSeminarPresentation.pdf | manage | 3 MB | 18 Feb 2010 - 08:44 | DianeKolb | 02.18.10 Barr Seminar Presentation |