Name
Title | ||
|---|---|---|
Confidence and prediction intervals for semiparametric mixed-effect least squares support vector machine |
Abstract | ||
|---|---|---|
We consider estimating the confidence and prediction intervals for semiparametric mixed-effect least squares support vector machine (LS-SVM). Explicit formulas are derived for confidence and prediction intervals. The accuracy of the derived analytical equations is assessed by comparing with wild cluster bootstrap-t method on simulated and real-world data with different levels of random-effect and residual variances, and different numbers of clusters. Close match between the derived expressions and the bootstrap results is observed. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patrec.2013.12.010 | Pattern Recognition Letters |
Keywords | Field | DocType |
real-world data,prediction interval,bootstrap result,different level,analytical equation,residual variance,squares support vector machine,explicit formula,different number,semiparametric mixed-effect,least squares support vector machine,confidence interval | Residual,Least squares support vector machine,Pattern recognition,Robust confidence intervals,Prediction interval,CDF-based nonparametric confidence interval,Artificial intelligence,Confidence and prediction bands,Confidence interval,Statistics,Bootstrapping (electronics),Mathematics | Journal |
Volume | ISSN | Citations |
40, | 0167-8655 | 8 |
PageRank | References | Authors |
0.72 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiang Cheng | 1 | 40 | 7.06 |
| Jale Tezcan | 2 | 11 | 1.85 |
| Jie Cheng | 3 | 95 | 5.77 |