Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming‐Based Approach
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Publication:6064606
DOI10.1111/insr.12073OpenAlexW1842023450WikidataQ36204910 ScholiaQ36204910MaRDI QIDQ6064606
Belmiro P. M. Duarte, Weng Kee Wong
Publication date: 10 November 2023
Published in: International Statistical Review (Search for Journal in Brave)
Full work available at URL: https://www.escholarship.org/uc/item/5gk1d91d
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Optimal Design of Experiments for Implicit Models, An algorithm based on semidefinite programming for finding minimax optimal designs, Optimal Adaptive Designs with Inverse Ordinary Differential Equations, Adaptive grid semidefinite programming for finding optimal designs, Approximate and exact optimal designs for \(2^k\) factorial experiments for generalized linear models via second order cone programming, Optimal exact designs of experiments via mixed integer nonlinear programming, Optimal experimental design for linear time invariant state-space models, Optimal Designs for Multi-Response Nonlinear Regression Models With Several Factors via Semidefinite Programming
Cites Work
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- A semidefinite programming study of the Elfving theorem
- Computing optimal designs of multiresponse experiments reduces to second-order cone program\-ming
- Improvements on removing nonoptimal support points in \(D\)-optimum design algorithms
- On minimally-supported \(D\)-optimal designs for polynomial regression with log-concave weight function
- On the number of support points of maximin and Bayesian optimal designs
- Optimal Bayesian design applied to logistic regression experiments
- On linear regression designs which maximize information
- Applications of semidefinite programming
- Optimal Bayesian designs for models with partially specified heteroscedastic structure
- Model-oriented design of experiments
- Second-order cone programming
- Bayesian experimental design: A review
- Geometry of \(E\)-optimality
- Optimal experimental design and some related control problems
- Lectures on Modern Convex Optimization
- The Equivalence of Two Extremum Problems
- An Introduction to Optimal Designs for Social and Biomedical Research
- A unified approach to the construction of minimax designs
- Bayesian D-optimal designs on a fixed number of design points for heteroscedastic polynomial models
- Determinant Maximization with Linear Matrix Inequality Constraints
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
- Two‐Stage Design of Quanta1 Response Studies
- Minimax D‐Optimal Designs for the Logistic Model
- Semidefinite Programming
- Optimal Designs for Rational Function Regression
- Optimal Design for Goodness-of-Fit of the Michaelis–Menten Enzyme Kinetic Function
- Locally Optimal Designs for Estimating Parameters
- Handbook of semidefinite programming. Theory, algorithms, and applications
