An Efficient Algorithm for Elastic I-optimal Design of Generalized Linear Models

@article{Li2018AnEA,
  title={An Efficient Algorithm for Elastic I-optimal Design of Generalized Linear Models},
  author={Yiou Li and Xinwei Deng},
  journal={arXiv: Methodology},
  year={2018}
}
The generalized linear models (GLMs) are widely used in statistical analysis and the related design issues are undoubtedly challenging. The state-of-the-art works mostly apply to design criteria on the estimates of regression coefficients. The prediction accuracy is usually critical in modern decision making and artificial intelligence applications. It is of importance to study optimal designs from the prediction aspects for generalized linear models. In this work, we consider the Elastic I… Expand
6 Citations
On Efficient Design of Pilot Experiment for Generalized Linear Models
  • Yiou Li, Xinwei Deng
  • Mathematics
  • 2021
  • Highly Influenced
  • PDF
In- and Equivariance for Optimal Designs in Generalized Linear Models: The Gamma Model
  • Highly Influenced
  • PDF
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments
  • PDF
Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation
  • PDF
] 1 4 A ug 2 02 0 Statistica Sinica 1 A Maximin Φ p-Efficient Design for Multivariate Generalized Linear Models
  • 2020

References

SHOWING 1-10 OF 52 REFERENCES
Combined algorithm to compute D-optimal designs
  • 5
Design Issues for Generalized Linear Models: A Review
  • 116
  • PDF
A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments
  • 13
  • PDF
Optimum Experimental Designs, with SAS
  • 903
  • Highly Influential
  • PDF
Optimal Designs for Generalized Linear Models
  • 19
  • Highly Influential
  • PDF
Active learning for logistic regression: an evaluation
  • 232
  • PDF
...
1
2
3
4
5
...