A note on a non-stationary point source spatial model
Bayesian methodology, Geostatistical modeling, Hedonic models, Spatial correlation
Environmental and Ecological Statistics
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. © 2012 Springer Science+Business Media, LLC.
Department of Mathematics
Original Publication Date
DOI of published version
Ecker, Mark D.; de Oliveira, Victor; and Isakson, Hans, "A note on a non-stationary point source spatial model" (2013). Faculty Publications. 1637.