Efficient computational algorithms for approximate optimal designs-Reference-Cited by-同舟云学术

Efficient computational algorithms for approximate optimal designs

Published:2021-09-13 Issue: Volume: Page:1-30
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Duan Jiangtao¹²,Gao Wei²,Ma Yanyuan³,Ng Hon Keung Tony⁴

Affiliation:

1. School of Economics and Statistics, Guangzhou University, Guangzhou, People's Republic of China

2. Key Laboratory for Applied Statistics of MOE, School of Mathematics and Statistics, Northeast Normal University, Changchun, People's Republic of China

3. Department of Statistics, The Pennsylvania State University, University Park, PA, USA

4. Department of Statistical Science, Southern Methodist University, Dallas, TX, USA

Funder

National Nature Science Foundation of China

National Natural Science Foundation of China

Simons Foundation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2021.1974439

Reference23 articles.

1. A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments

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1. An algorithm for computing generalized D-optimal allocation with cost consideration in regression models;Communications in Statistics - Simulation and Computation;2023-09-06

2. Multiplication Algorithms for Approximate Optimal Distributions with Cost Constraints;Mathematics;2023-04-21

3. Convergence of optimal allocation sequence in regression models with cost consideration;2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML);2022-06