A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA
نویسندگان
چکیده
منابع مشابه
Regression With Spatially Misaligned Data
Suppose X(s) and 2(s) are stationary spatially autocorrelated Gaussian processes and Y(s) = β0 + β1X(s) + 2(s) for any location s. Our problem is to estimate the β’s, particularly β1, when X and Y are not necessarily observed in the same location. This situation may arise when the data are recorded by different agencies or when there are missing data values. A natural but näıve approach is to p...
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ژورنال
عنوان ژورنال: Environmetrics
سال: 2020
ISSN: 1180-4009,1099-095X
DOI: 10.1002/env.2644