This paper presents a mixture model which combines features of the usual Cox proportional hazards model with those of a class of models, known as mixtures-of-experts. The resulting model is more flexible than the usual Cox model in the sense that the log hazard ratio is allowed to vary non-linearly
β¦ LIBER β¦
Estimation in Varying-coefficient Proportional Hazard Regression Model
β Scribed by Qihua Wang; Lili Yao
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 180 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0026-1335
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Mixtures of proportional hazards regress
β
Ori Rosen; Martin Tanner
π
Article
π
1999
π
John Wiley and Sons
π
English
β 161 KB
π 2 views
Quantile regression in varying coefficie
β
Toshio Honda
π
Article
π
2004
π
Elsevier Science
π
English
β 257 KB
This paper deals with the estimation of conditional quantiles in varying coe cient models by estimating the coe cients. Varying coe cient models are among popular models that have been proposed to alleviate the curse of dimensionality. Previous works on varying coe cient models deal with conditional
Efficient estimation of a varying-coeffi
β
Tao Hu; Heng Jian Cui
π
Article
π
2010
π
Institute of Mathematics, Chinese Academy of Scien
π
English
β 242 KB
Least squares estimation of varying-coef
β
Guosheng Yin; Hui Li
π
Article
π
2009
π
John Wiley and Sons
π
French
β 262 KB
Estimation in proportional hazard and lo
β
Kjell A. Doksum; Seiji Nabeya
π
Article
π
1984
π
Elsevier Science
π
English
β 399 KB
Density estimation in the simple proport
β
SΓ‘ndor CsΓΆrgΓΆ; Jan Mielniczuk
π
Article
π
1988
π
Elsevier Science
π
English
β 463 KB