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On two-step estimation for varying coefficient models
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In this note we discuss two-step kernel estimation of varying coefficient regression models that have a common smoothing variable. The method allows one to use different bandwidths for different coefficient functions. We consider local polynomial fitting and present explicit formulas for the asymptotic biases and variances of the estimators. (C) 2013 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.
키워드
Varying coefficient models; Kernel smoothing; Bandwidth selectors; Local polynomial regression
- 제목
- On two-step estimation for varying coefficient models
- 저자
- Lee, Young Kyung
- 발행일
- 2013-12
- 유형
- Article
- 권
- 42
- 호
- 4
- 페이지
- 565 ~ 571