Bayesian inference in natural hazard analysis for incomplete and uncertain data.
- Published in:
- Environmetrics, 2019, v. 30, n. 6, p. N.PAG, doi. 10.1002/env.2566
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- Publication type:
- Article
Works matching IS 11804009 AND DT 2019 AND VI 30 AND IP 6
Results: 7
1
2
Partial characteristics for marked spatial point processes.
- Published in:
- Environmetrics, 2019, v. 30, n. 6, p. N.PAG, doi. 10.1002/env.2565
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- Publication type:
- Article
3
Power link functions in an ordinal regression model with Gaussian process priors.
- Published in:
- Environmetrics, 2019, v. 30, n. 6, p. N.PAG, doi. 10.1002/env.2564
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- Publication type:
- Article
4
Wavelet variances for heavy‐tailed time series.
- Published in:
- Environmetrics, 2019, v. 30, n. 6, p. N.PAG, doi. 10.1002/env.2563
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- Publication type:
- Article
5
On spatial conditional extremes for ocean storm severity.
- Published in:
- Environmetrics, 2019, v. 30, n. 6, p. N.PAG, doi. 10.1002/env.2562
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- Publication type:
- Article
6
Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model.
- Published in:
- Environmetrics, 2019, v. 30, n. 6, p. N.PAG, doi. 10.1002/env.2552
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- Publication type:
- Article
7
Issue Information.
- Published in:
- Environmetrics, 2019, v. 30, n. 6, p. N.PAG, doi. 10.1002/env.2516
- Publication type:
- Article