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Spatial prediction in the presence of positional error

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Geostatistics is a branch of spatial statistics in which a major objective is to model a continuously-varying quantity sampled at a discrete set of geographical locations. Positional error occurs when these locations cannot be measured precisely. This talk will introduce the subject of geostatistics, and describe the effect that positional error has on inference, drawing analogies with measurement error in linear and non-linear modelling. The implications of the results on a range of applications in spatial and environmental epidemiology will be discussed.

This talk is part of the MRC Biostatistics Unit Seminars series.

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