New efficient spline estimation for varying-coefficient models with two-step knot number selection-Reference-Cited by-同舟云学术

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New efficient spline estimation for varying-coefficient models with two-step knot number selection

Published:2020-10-03 Issue:5 Volume:84 Page:693-712
ISSN:0026-1335
Container-title:Metrika
language:en
Short-container-title:Metrika

Author:

Jin Jun,Ma Tiefeng,Dai Jiajia

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s00184-020-00798-8.pdf

Reference34 articles.

1. Agarwal GG, Studden WJ (1980) Asymptotic integrated mean square error using least squares and bias minimizing spline. Ann Stat 8:1307–1325

2. Cai Z (2002) Two-step likelihood estimation procedure for varying-coefficient models. J Multivar Anal 82:189–209

3. Cai Z, Sun Y (2003) Local linear estimation for time-dependent coefficients in Coxs regression models. Scand J Stat 30:93–11

4. Cai Z, Fan J, Li R (2000) Efficient estimation and inferences for varying-coefficient models. J Am Stat Assoc 95:888–902

5. Chiang CT, Rice JA, Wu CO (2001) Smoothing spline estimation for varying coefficient models with repeatedly measured dependent variables. J Am Stat Assoc 96:605–619

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