Proportional volume sampling and approximation algorithms for a-optimal design
Year of publication: |
2022
|
---|---|
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
|
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 |
-
Prais-Winsten algorithm for regression with second or higher order autoregressive errors
Vougas, Dimitrios V., (2021)
-
Zhang, Xibin, (2013)
-
Yang, Fengkai, (2017)
- More ...
-
Integrality gap of the vertex cover linear programming relaxation
Singh, Mohit, (2019)
-
Assessment and selection of vendor in a manufacturing organisation : a graph theoretic approach
Singh, Mohit, (2013)
-
Secretary problems via linear programming
Buchbinder, Niv, (2014)
- More ...