Works matching IS 11804009 AND DT 2023 AND VI 34 AND IP 4
Results: 7
Mitigating spatial confounding by explicitly correlating Gaussian random fields.
- Published in:
- 2023
- By:
- Publication type:
- Correction Notice
A Bayesian time series model for reconstructing hydroclimate from multiple proxies.
- Published in:
- Environmetrics, 2023, v. 34, n. 4, p. 1, doi. 10.1002/env.2786
- By:
- Publication type:
- Article
Stable sums to infer high return levels of multivariate rainfall time series.
- Published in:
- Environmetrics, 2023, v. 34, n. 4, p. 1, doi. 10.1002/env.2782
- By:
- Publication type:
- Article
Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions.
- Published in:
- Environmetrics, 2023, v. 34, n. 4, p. 1, doi. 10.1002/env.2775
- By:
- Publication type:
- Article
Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles.
- Published in:
- Environmetrics, 2023, v. 34, n. 4, p. 1, doi. 10.1002/env.2765
- By:
- Publication type:
- Article
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure.
- Published in:
- Environmetrics, 2023, v. 34, n. 4, p. 1, doi. 10.1002/env.2753
- By:
- Publication type:
- Article
Issue Information.
- Published in:
- Environmetrics, 2023, v. 34, n. 4, p. 1, doi. 10.1002/env.2737
- Publication type:
- Article