Name
Abstract | ||
|---|---|---|
Among their competitors, projection depth and its induced estimators are very favorable because they can enjoy very high breakdown point robustness without having to pay the price of low efficiency, meanwhile providing a promising center-outward ordering of multi-dimensional data. However, their further applications have been severely hindered due to their computational challenge in practice. In this paper, we derive a simple form of the projection depth function, when (@m,@s)= (Med, MAD). This simple form enables us to extend the existing result of point-wise exact computation of projection depth (PD) of Zuo and Lai (2011) to depth contours and median for bivariate data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.csda.2012.10.016 | Computational Statistics & Data Analysis |
Keywords | Field | DocType |
induced estimator,projection depth function,simple form,bivariate data,high breakdown point robustness,bivariate projection depth contour,existing result,projection depth,multi-dimensional data,computational challenge,depth contour | Discrete mathematics,Bivariate data,Dykstra's projection algorithm,Algorithm,Depth function,Robustness (computer science),Statistics,Bivariate analysis,Mathematics,Estimator,Computation,Breakdown point | Journal |
Volume | ISSN | Citations |
60, | 0167-9473 | 5 |
PageRank | References | Authors |
0.83 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaohui Liu | 1 | 16 | 2.95 |
| Yijun Zuo | 2 | 30 | 6.00 |
| Zhizhong Wang | 3 | 49 | 6.30 |