Saved in:
| Main Authors: | Mao, Yicheng, Kessels, Roselinde, van der Zanden, Tom |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.18533 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simulated Annealing for Model-Robust Partial Profile Choice Designs in Healthcare Preference Studies
by: Mao, Yicheng, et al.
Published: (2026)
by: Mao, Yicheng, et al.
Published: (2026)
fdesigns: Bayesian Optimal Designs of Experiments for Functional Models in R
by: Michaelides, Damianos, et al.
Published: (2024)
by: Michaelides, Damianos, et al.
Published: (2024)
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
by: Sharrock, Louis
Published: (2026)
by: Sharrock, Louis
Published: (2026)
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)
by: Chakraborty, Atlanta, et al.
Published: (2024)
Optimal Stopping for Sequential Bayesian Experimental Design
by: Cheng, Chen, et al.
Published: (2025)
by: Cheng, Chen, et al.
Published: (2025)
Optimal Exact Designs of Multiresponse Experiments under Linear and Sparsity Constraints
by: Filová, Lenka, et al.
Published: (2025)
by: Filová, Lenka, et al.
Published: (2025)
Maximin Robust Bayesian Experimental Design
by: Abdulsamad, Hany, et al.
Published: (2026)
by: Abdulsamad, Hany, et al.
Published: (2026)
Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
A Note on the Output of a Coordinate-Exchange Algorithm for Optimal Experimental Design
by: Strouwen, Arno, et al.
Published: (2026)
by: Strouwen, Arno, et al.
Published: (2026)
Temperature Optimization for Bayesian Deep Learning
by: Ng, Kenyon, et al.
Published: (2024)
by: Ng, Kenyon, et al.
Published: (2024)
Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2025)
by: Zhang, Wenxin, et al.
Published: (2025)
Efficient Bayesian Inference for Discretely Observed Continuous Time Markov Chains
by: Tang, Tao, et al.
Published: (2025)
by: Tang, Tao, et al.
Published: (2025)
Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
by: Mäkinen, Sofia, et al.
Published: (2026)
by: Mäkinen, Sofia, et al.
Published: (2026)
On the Choice of Model Space Priors and Multiplicity Control in Bayesian Variable Selection: An Application to Streaming Logistic Regression
by: Ghosh, Joyee
Published: (2025)
by: Ghosh, Joyee
Published: (2025)
Variational Bayesian Optimal Experimental Design with Normalizing Flows
by: Dong, Jiayuan, et al.
Published: (2024)
by: Dong, Jiayuan, et al.
Published: (2024)
Constructing Level Sets Using Smoothed Approximate Bayesian Computation
by: Edwards, David, et al.
Published: (2024)
by: Edwards, David, et al.
Published: (2024)
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity
by: Modrák, Martin, et al.
Published: (2022)
by: Modrák, Martin, et al.
Published: (2022)
An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, et al.
Published: (2025)
To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression
by: van Leeuwen, Florian D., et al.
Published: (2025)
by: van Leeuwen, Florian D., et al.
Published: (2025)
Optimal Experimental Design for Microplastics Sampling Experiments
by: Aquino-López, Marco A., et al.
Published: (2025)
by: Aquino-López, Marco A., et al.
Published: (2025)
Bayesian Design of Experiments in the Presence of Nuisance Parameters
by: Golchi, Shirin, et al.
Published: (2025)
by: Golchi, Shirin, et al.
Published: (2025)
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
by: Blau, Tom, et al.
Published: (2023)
by: Blau, Tom, et al.
Published: (2023)
Robust Simulation Based Inference Through Robust Optimal Transport
by: Jacobs, Peter Matthew, et al.
Published: (2026)
by: Jacobs, Peter Matthew, et al.
Published: (2026)
Bayesian regression discontinuity design with unknown cutoff
by: Kowalska, Julia, et al.
Published: (2024)
by: Kowalska, Julia, et al.
Published: (2024)
Failure of Optimal Design Theory? A Case Study in Toxicology Using Sequential Robust Optimal Design Framework
by: Cui, Elvis Han, et al.
Published: (2025)
by: Cui, Elvis Han, et al.
Published: (2025)
Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, et al.
Published: (2025)
by: Ghosh, Joyee, et al.
Published: (2025)
Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
by: Li, Wentao, et al.
Published: (2024)
by: Li, Wentao, et al.
Published: (2024)
Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025)
by: Kelly, Ryan P., et al.
Published: (2025)
PASOA- PArticle baSed Bayesian Optimal Adaptive design
by: Iollo, Jacopo, et al.
Published: (2024)
by: Iollo, Jacopo, et al.
Published: (2024)
Experimental Assortments for Choice Estimation and Nest Identification
by: Yu, Xintong, et al.
Published: (2026)
by: Yu, Xintong, et al.
Published: (2026)
A Randomized Exchange Algorithm for Optimal Design of Multi-Response Experiments
by: Somogyi, Pál, et al.
Published: (2024)
by: Somogyi, Pál, et al.
Published: (2024)
ProfileGLMM: a R Package Extending Bayesian Profile Regression using Generalised Linear Mixed Models
by: Amestoy, Matteo, et al.
Published: (2026)
by: Amestoy, Matteo, et al.
Published: (2026)
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
by: Zhong, Shijie, et al.
Published: (2024)
by: Zhong, Shijie, et al.
Published: (2024)
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
by: Shen, Wanggang, et al.
Published: (2026)
by: Shen, Wanggang, et al.
Published: (2026)
Simulation-based assessment of a Bayesian survival model with flexible baseline hazard and time-dependent effects
by: Timmins, Iain R., et al.
Published: (2025)
by: Timmins, Iain R., et al.
Published: (2025)
Simulation Experiment Design for Calibration via Active Learning
by: Sürer, Özge
Published: (2024)
by: Sürer, Özge
Published: (2024)
Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss
by: Amoudruz, Lucas, et al.
Published: (2025)
by: Amoudruz, Lucas, et al.
Published: (2025)
Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
by: Ichikawa, Yuma, et al.
Published: (2024)
by: Ichikawa, Yuma, et al.
Published: (2024)
Similar Items
-
Simulated Annealing for Model-Robust Partial Profile Choice Designs in Healthcare Preference Studies
by: Mao, Yicheng, et al.
Published: (2026) -
fdesigns: Bayesian Optimal Designs of Experiments for Functional Models in R
by: Michaelides, Damianos, et al.
Published: (2024) -
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
by: Sharrock, Louis
Published: (2026) -
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024) -
Optimal Stopping for Sequential Bayesian Experimental Design
by: Cheng, Chen, et al.
Published: (2025)