| JOURNAL OF MULTIVARIATE ANALYSIS | 卷:94 |
| Estimation of regression contour clusters - an application of the excess mass approach to regression | |
| Article | |
| Polonik, WG ; Wang, ZL | |
| 关键词: consistency; excess mass; regression contour clusters empirical processes; bracketing numbers; asymptotic normality; | |
| DOI : 10.1016/j.jmva.2004.05.001 | |
| 来源: Elsevier | |
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【 摘 要 】
The paper shows that the technique known as excess mass can be translated to non-parametric regression with random design in d-dimensional Euclidean space, where the regression function m is given by m(x) = E(Y vertical bar X = x), x is an element of R-d. The approach is applied to estimating regression contour clusters, which are sets where in exceeds a certain threshold value. This is accomplished without prior estimation of the regression function. Consistency of the resulting estimators is studied, and a functional central limit theorem for the excess mass is derived in the regression context. (c) 2004 Elsevier Inc. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_jmva_2004_05_001.pdf | 323KB |
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