Saved in:
| Main Authors: | He, Xu, Gong, Junpeng, Li, Zhaohui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.04582 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Design-based causal inference in bipartite experiments
by: Lu, Sizhu, et al.
Published: (2025)
by: Lu, Sizhu, et al.
Published: (2025)
Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
by: Shi, Lei, et al.
Published: (2022)
by: Shi, Lei, et al.
Published: (2022)
Forward selection and post-selection inference in factorial designs
by: Shi, Lei, et al.
Published: (2023)
by: Shi, Lei, et al.
Published: (2023)
Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
by: Bai, Tian, et al.
Published: (2025)
by: Bai, Tian, et al.
Published: (2025)
Practical aspects of the virtual noise convex optimum design approach for correlated responses
by: Hainy, Markus, et al.
Published: (2025)
by: Hainy, Markus, et al.
Published: (2025)
Optimal design of experiments with quantitative-sequence factors
by: Wang, Yaping, et al.
Published: (2025)
by: Wang, Yaping, et al.
Published: (2025)
Surrogate-based Bayesian calibration methods for chaotic systems: a comparison of traditional and non-traditional approaches
by: Holthuijzen, Maike F., et al.
Published: (2025)
by: Holthuijzen, Maike F., et al.
Published: (2025)
Asymptotic theory of the quadratic assignment procedure for dyadic data analysis
by: Shi, Lei, et al.
Published: (2024)
by: Shi, Lei, et al.
Published: (2024)
MOODE: An R Package for Multi-Objective Optimal Design of Experiments
by: Koutra, Vasiliki, et al.
Published: (2024)
by: Koutra, Vasiliki, et al.
Published: (2024)
GenTwoArmsTrialSize: An R Statistical Software Package to estimate Generalized Two Arms Randomized Clinical Trial Sample Size
by: Soltanifar, Mohsen, et al.
Published: (2024)
by: Soltanifar, Mohsen, et al.
Published: (2024)
Gradient-based Active Learning with Gaussian Processes for Global Sensitivity Analysis
by: Lambert, Guerlain, et al.
Published: (2026)
by: Lambert, Guerlain, et al.
Published: (2026)
Exact Bayesian Planning for Simple Step-Stress Accelerated Life Testing with Competing Risks
by: Prajapat, Kiran
Published: (2026)
by: Prajapat, Kiran
Published: (2026)
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)
Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
by: Zhang, Qiong, et al.
Published: (2020)
by: Zhang, Qiong, et al.
Published: (2020)
On the E(s^2)-optimality of two-level supersaturated designs constructed using Wu's method of partially aliased interactions on certain two-level orthogonal arrays
by: Androulakis, Emmanouil, et al.
Published: (2025)
by: Androulakis, Emmanouil, et al.
Published: (2025)
Some theoretical foundations for the design and analysis of randomized experiments
by: Shi, Lei, et al.
Published: (2024)
by: Shi, Lei, et al.
Published: (2024)
Optimal Design in Repeated Testing for Count Data
by: Parsamaram, Parisa, et al.
Published: (2024)
by: Parsamaram, Parisa, et al.
Published: (2024)
Optimal designs for discrete choice models via graph Laplacians
by: Röttger, Frank, et al.
Published: (2022)
by: Röttger, Frank, et al.
Published: (2022)
ALMAB-DC: Active Learning, Multi-Armed Bandits, and Distributed Computing for Sequential Experimental Design and Black-Box Optimization
by: Hui-Mean, Foo, et al.
Published: (2026)
by: Hui-Mean, Foo, et al.
Published: (2026)
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
by: Imberg, Henrik, et al.
Published: (2022)
by: Imberg, Henrik, et al.
Published: (2022)
The square array design
by: Bailey, R. A., et al.
Published: (2024)
by: Bailey, R. A., et al.
Published: (2024)
D-optimal Subsampling Design for Massive Data Linear Regression
by: Glemser, Torsten, et al.
Published: (2023)
by: Glemser, Torsten, et al.
Published: (2023)
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)
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)
Causal inference with ordinal outcomes: copula-based identification, estimation and sensitivity analysis
by: He, Peiyu, et al.
Published: (2026)
by: He, Peiyu, et al.
Published: (2026)
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)
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2021)
by: Shen, Wanggang, et al.
Published: (2021)
Is control of type I error rate needed in Bayesian clinical trial designs?
by: Arjas, Elja, et al.
Published: (2023)
by: Arjas, Elja, et al.
Published: (2023)
Unbiased least squares regression via averaged stochastic gradient descent
by: Kahalé, Nabil
Published: (2024)
by: Kahalé, Nabil
Published: (2024)
Toward design-based inference for data integration
by: Čiginas, Andrius, et al.
Published: (2026)
by: Čiginas, Andrius, et al.
Published: (2026)
Variational Sequential Optimal Experimental Design using Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2023)
by: Shen, Wanggang, et al.
Published: (2023)
Designing an Optimal Sensor Network via Minimizing Information Loss
by: Waxman, Daniel, et al.
Published: (2025)
by: Waxman, Daniel, et al.
Published: (2025)
A Novel Theoretical Framework for Exponential Smoothing
by: Bernardi, Enrico, et al.
Published: (2024)
by: Bernardi, Enrico, et al.
Published: (2024)
Distributionally balanced sampling designs
by: Grafström, Anton, et al.
Published: (2026)
by: Grafström, Anton, et al.
Published: (2026)
Mixed-integer linear programming for computing optimal experimental designs
by: Harman, Radoslav, et al.
Published: (2023)
by: Harman, Radoslav, et al.
Published: (2023)
Remote Auditing: Design-based Tests of Randomization, Selection, and Missingness with Broadly Accessible Satellite Imagery
by: Jerzak, Connor T., et al.
Published: (2025)
by: Jerzak, Connor T., et al.
Published: (2025)
Distributionally balanced sampling designs via minimum tactical configurations
by: Grafström, Anton, et al.
Published: (2026)
by: Grafström, Anton, et al.
Published: (2026)
Estimation and Hypothesis Testing of Fixed Effects Models-Based Uncertainty for Factor Designs
by: Zhang, Fan, et al.
Published: (2026)
by: Zhang, Fan, et al.
Published: (2026)
Teaching Longitudinal Linear Mixed Models End-to-End: A Reproducible Case Study in Mouse Body-Weight Growth
by: Adetunji, Sunday A.
Published: (2025)
by: Adetunji, Sunday A.
Published: (2025)
A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
by: Bark, Stephan, et al.
Published: (2026)
by: Bark, Stephan, et al.
Published: (2026)
Similar Items
-
Design-based causal inference in bipartite experiments
by: Lu, Sizhu, et al.
Published: (2025) -
Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
by: Shi, Lei, et al.
Published: (2022) -
Forward selection and post-selection inference in factorial designs
by: Shi, Lei, et al.
Published: (2023) -
Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
by: Bai, Tian, et al.
Published: (2025) -
Practical aspects of the virtual noise convex optimum design approach for correlated responses
by: Hainy, Markus, et al.
Published: (2025)