Assessing the impact of hard data patterns on Bayesian Maximum Entropy: a simulation study. [PDF]
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Protocol for spatial prediction of soil transmitted helminth prevalence in the Western Pacific region using a meta-analytical approach. [PDF]
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Using ESPEN data for evidence-based control of neglected tropical diseases in sub-Saharan Africa: A comprehensive model-based geostatistical analysis of soil-transmitted helminths. [PDF]
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Abstract Extensive geostatistical modeling of data from the Bachaquero fields (east coast of Lake Maracaibo, Venezuela) has been conducted within the framework of a large-scale integrated study. These stochastic models have been used for several reservoir-management applications, where a fast and effective response is necessary to ...
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Most data have a space and time label associated with them; data that are close together are usually more correlated than those that are far apart. Prediction (or forecasting) of a process at a particular label where there is no datum, from observed nearby data, is the subject of this article.
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