Works matching IS 11804009 AND DT 2020 AND VI 31 AND IP 4
Results: 7
Probabilistic predictive principal component analysis for spatially misaligned and high‐dimensional air pollution data with missing observations.
- Published in:
- Environmetrics, 2020, v. 31, n. 4, p. 1, doi. 10.1002/env.2614
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- Article
Hidden Markov random field models applied to color homogeneity evaluation in dyed textile images.
- Published in:
- Environmetrics, 2020, v. 31, n. 4, p. 1, doi. 10.1002/env.2613
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- Publication type:
- Article
A permutation approach to the analysis of spatiotemporal geochemical data in the presence of heteroscedasticity.
- Published in:
- Environmetrics, 2020, v. 31, n. 4, p. 1, doi. 10.1002/env.2611
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- Article
Spatiotemporal reconstructions of global CO<sub>2</sub>‐fluxes using Gaussian Markov random fields.
- Published in:
- Environmetrics, 2020, v. 31, n. 4, p. 1, doi. 10.1002/env.2610
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- Article
Modeling sea‐level processes on the U.S. Atlantic Coast.
- Published in:
- Environmetrics, 2020, v. 31, n. 4, p. 1, doi. 10.1002/env.2609
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- Article
Bayesian spatial analysis of hardwood tree counts in forests via MCMC.
- Published in:
- Environmetrics, 2020, v. 31, n. 4, p. 1, doi. 10.1002/env.2608
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- Publication type:
- Article
Issue Information.
- Published in:
- Environmetrics, 2020, v. 31, n. 4, p. 1, doi. 10.1002/env.2586
- Publication type:
- Article