A large‐scale spatio‐temporal binomial regression model for estimating seroprevalence trends.
- Published in:
- Environmetrics, 2018, v. 29, n. 8, p. N.PAG, doi. 10.1002/env.2538
- By:
- Publication type:
- Article
Works matching IS 11804009 AND DT 2018 AND VI 29 AND IP 8
Results: 7
1
2
Real‐time PM<sub>2.5</sub> mapping and anomaly detection from AirBoxes in Taiwan.
- Published in:
- Environmetrics, 2018, v. 29, n. 8, p. N.PAG, doi. 10.1002/env.2537
- By:
- Publication type:
- Article
3
Linear regression with left‐censored covariates and outcome using a pseudolikelihood approach.
- Published in:
- Environmetrics, 2018, v. 29, n. 8, p. N.PAG, doi. 10.1002/env.2536
- By:
- Publication type:
- Article
4
Model aggregation using optimal transport and applications in wind speed forecasting.
- Published in:
- Environmetrics, 2018, v. 29, n. 8, p. N.PAG, doi. 10.1002/env.2531
- By:
- Publication type:
- Article
5
Adaptive predictive principal components for modeling multivariate air pollution.
- Published in:
- Environmetrics, 2018, v. 29, n. 8, p. N.PAG, doi. 10.1002/env.2525
- By:
- Publication type:
- Article
6
Remote effects spatial process models for modeling teleconnections.
- Published in:
- Environmetrics, 2018, v. 29, n. 8, p. N.PAG, doi. 10.1002/env.2523
- By:
- Publication type:
- Article
7
Issue Information.
- Published in:
- Environmetrics, 2018, v. 29, n. 8, p. N.PAG, doi. 10.1002/env.2475
- Publication type:
- Article