Name
Title | ||
|---|---|---|
Asymptotically efficient estimation of smooth functionals of the regression function for a known distribution of the observation noise |
Abstract | ||
|---|---|---|
Under the assumption that the distribution function of the observation noise is known, both for the case of a predefined observation design and the case where observation designing is possible, we construct estimates of smooth functionals of the regression function, for which lower bounds on mean-square risks of arbitrary estimates of smooth functionals obtained in [1, 2] are asymptotically attained. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/s11122-005-0005-7 | Probl. Inf. Transm. |
Keywords | Field | DocType |
distribution function,lower bound | Regression function,Mathematical analysis,Upper and lower bounds,Distribution function,Mathematics | Journal |
Volume | Issue | ISSN |
40 | 4 | 1608-3253 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu. I. Pastukhova | 1 | 0 | 0.34 |