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A note on a non-stationary point source spatial model |
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| Authors: | Mark D. Ecker Victor De Oliveira Hans Isakson |
| Affiliation: | 1. Department of Mathematics, University of Northern Iowa, Cedar Falls, IA, 50614-0506, USA 2. College of Business, University of Texas at San Antonio, San Antonio, TX, 78249, USA 3. Economics Department, University of Northern Iowa, Cedar Falls, IA, 50614-0129, USA |
| Abstract: | A point source, non-stationary covariance structure model is proposed, having only one additional parameter over a standard, stationary covariance structure, spatial model. Additionally, the proposed model is demonstrated to fit better than the three extra parameter, point source, non-stationary spatial model proposed by Ecker and De Oliveira (Commun Stat Theory Methods 37:2066–2078, 2008). The proposed model is fit from a Bayesian perspective and illustrated using a house sales dataset from Cedar Falls, Iowa. |
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