Proportional volume sampling and approximation algorithms for a-optimal design
Aleksandar Nikolov, Mohit Singh, Uthaipon (Tao) Tantipongpipat
| Year of publication: |
2022
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|---|---|
| Authors: | Nikolov, Aleksandar ; Singh, Mohit ; Tantipongpipat, Uthaipon |
| Published in: |
Mathematics of operations research. - Hanover, Md. : INFORMS, ISSN 1526-5471, ZDB-ID 2004273-5. - Vol. 47.2022, 2, p. 847-877
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| Subject: | A-optimal design | approximation algorithms | D-optimal design | design of experiments | generalized ratio objective | linear regression | NP-hardness | optimal design | proportional volume sampling | volume sampling | Stichprobenerhebung | Sampling | Algorithmus | Algorithm | Mathematische Optimierung | Mathematical programming | Regressionsanalyse | Regression analysis | Schätztheorie | Estimation theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/moor.2021.1129 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013364964