Variable selection in linear models.
- Published in:
- WIREs: Computational Statistics, 2014, v. 6, n. 1, p. 1, doi. 10.1002/wics.1284
- By:
- Publication type:
- Article
Works matching IS 19395108 AND DT 2014 AND VI 6 AND IP 1
Results: 7
1
2
A hierarchical conditional autoregressive model for colorectal cancer survival data.
- Published in:
- WIREs: Computational Statistics, 2014, v. 6, n. 1, p. 37, doi. 10.1002/wics.1283
- By:
- Publication type:
- Article
3
Examining missing data mechanisms via homogeneity of parameters, homogeneity of distributions, and multivariate normality.
- Published in:
- WIREs: Computational Statistics, 2014, v. 6, n. 1, p. 56, doi. 10.1002/wics.1287
- By:
- Publication type:
- Article
4
Some recent statistical learning methods for longitudinal high-dimensional data.
- Published in:
- WIREs: Computational Statistics, 2014, v. 6, n. 1, p. 10, doi. 10.1002/wics.1282
- By:
- Publication type:
- Article
5
Financial modeling with heavy-tailed stable distributions.
- Published in:
- WIREs: Computational Statistics, 2014, v. 6, n. 1, p. 45, doi. 10.1002/wics.1286
- By:
- Publication type:
- Article
6
Issue information.
- Published in:
- WIREs: Computational Statistics, 2014, v. 6, n. 1, p. no, doi. 10.1002/wics.1289
- Publication type:
- Article
7
Document visualization: an overview of current research.
- Published in:
- WIREs: Computational Statistics, 2014, v. 6, n. 1, p. 19, doi. 10.1002/wics.1285
- By:
- Publication type:
- Article