Works matching IS 11804009 AND DT 2012 AND VI 23 AND IP 1
Results: 14
Categorical structured additive regression for assessing habitat suitability in the spatial distribution of mussel seed abundance.
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- Environmetrics, 2012, v. 23, n. 1, p. 75, doi. 10.1002/env.1140
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- Article
Circular conditional autoregressive modeling of vector fields.
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- Environmetrics, 2012, v. 23, n. 1, p. 46, doi. 10.1002/env.1133
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Testing for space-time interaction in conditional autoregressive models.
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- Environmetrics, 2012, v. 23, n. 1, p. 3, doi. 10.1002/env.1126
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In order to make spatial statistics computationally feasible, we need to forget about the covariance function.
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- Environmetrics, 2012, v. 23, n. 1, p. 65, doi. 10.1002/env.1137
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Recent advances in spatio-temporal stochastic modelling.
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- Environmetrics, 2012, v. 23, n. 1, p. 1, doi. 10.1002/env.1148
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Optimal design for detecting dependencies with an application in spatial ecology.
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- Environmetrics, 2012, v. 23, n. 1, p. 37, doi. 10.1002/env.1132
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- Article
Issue Information.
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- Environmetrics, 2012, v. 23, n. 1, p. i, doi. 10.1002/env.2125
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- Article
Spatial functional prediction from spatial autoregressive Hilbertian processes.
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- Environmetrics, 2012, v. 23, n. 1, p. 119, doi. 10.1002/env.1143
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Adjusted functional boxplots for spatio-temporal data visualization and outlier detection.
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- Environmetrics, 2012, v. 23, n. 1, p. 54, doi. 10.1002/env.1136
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Bayesian hierarchical spatio-temporal smoothing for very large datasets.
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- Environmetrics, 2012, v. 23, n. 1, p. 94, doi. 10.1002/env.1147
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Nonparametric methods for spatial regression. An application to seismic events.
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- Environmetrics, 2012, v. 23, n. 1, p. 85, doi. 10.1002/env.1146
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A group lasso approach for non-stationary spatial-temporal covariance estimation.
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- Environmetrics, 2012, v. 23, n. 1, p. 12, doi. 10.1002/env.1130
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Spatial threshold exceedance analysis through marked point processes.
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- Environmetrics, 2012, v. 23, n. 1, p. 108, doi. 10.1002/env.1141
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Spatio-temporal metamodeling for West African monsoon.
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- Environmetrics, 2012, v. 23, n. 1, p. 24, doi. 10.1002/env.1134
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- Article