Works matching IS 11804009 AND DT 2023 AND VI 34 AND IP 1
Results: 17
Uncertainty: Nothing is more certain.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2745
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Front Cover Image, Volume 34, Number 1, February 2023.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2791
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2022 Editorial Collaborators.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2790
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- Article
Environmental data science: Part 1.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2787
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Data science applied to environmental sciences.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2783
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REDS: Random ensemble deep spatial prediction.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2780
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The scope of the Kalman filter for spatio‐temporal applications in environmental science.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2773
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An illustration of model agnostic explainability methods applied to environmental data.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2772
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A double fixed rank kriging approach to spatial regression models with covariate measurement error.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2771
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Large‐scale environmental data science with ExaGeoStatR.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2770
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- Article
Decisions, decisions, decisions in an uncertain environment.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2767
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Stochastic tropical cyclone precipitation field generation.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2766
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A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2763
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Detecting changes in mixed‐sampling rate data sequences.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2762
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- Article
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2757
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- Article
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2748
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- Article
Issue Information.
- Published in:
- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2734
- Publication type:
- Article