Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey.
- Published in:
- WIREs: Computational Statistics, 2021, v. 13, n. 5, p. 1, doi. 10.1002/wics.1539
- Publication type:
- Article
Works matching IS 19395108 AND DT 2021 AND VI 13 AND IP 5
Results: 6
1
2
Competing risks analysis for discrete time‐to‐event data.
- Published in:
- WIREs: Computational Statistics, 2021, v. 13, n. 5, p. 1, doi. 10.1002/wics.1529
- By:
- Publication type:
- Article
3
A review of h‐likelihood and hierarchical generalized linear model.
- Published in:
- WIREs: Computational Statistics, 2021, v. 13, n. 5, p. 1, doi. 10.1002/wics.1527
- By:
- Publication type:
- Article
4
Issue Information.
- Published in:
- WIREs: Computational Statistics, 2021, v. 13, n. 5, p. 1, doi. 10.1002/wics.1521
- Publication type:
- Article
5
From object detection to text detection and recognition: A brief evolution history of optical character recognition.
- Published in:
- WIREs: Computational Statistics, 2021, v. 13, n. 5, p. 1, doi. 10.1002/wics.1547
- By:
- Publication type:
- Article
6
Genome‐wide prediction of chromatin accessibility based on gene expression.
- Published in:
- WIREs: Computational Statistics, 2021, v. 13, n. 5, p. 1, doi. 10.1002/wics.1544
- By:
- Publication type:
- Article