Saved in:
| Main Authors: | Zheng, Ruonan, Liu, Min-Qian, Zhou, Yongdao, Chen, Xuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.16431 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
An Efficient Adaptive Sequential Procedure for Simple Hypotheses with Expression for Finite Number of Applications of Less Effective Treatment
by: Kundu, Sampurna, et al.
Published: (2025)
by: Kundu, Sampurna, et al.
Published: (2025)
Variational Sequential Optimal Experimental Design using Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2023)
by: Shen, Wanggang, 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)
Graph Based, Adaptive, Multi Arm, Multiple Endpoint, Two Stage Design
by: Mehta, Cyrus, et al.
Published: (2025)
by: Mehta, Cyrus, et al.
Published: (2025)
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)
Inference with Sequential Monte-Carlo Computation of $p$-values: Fast and Valid Approaches
by: Stoepker, Ivo V., et al.
Published: (2024)
by: Stoepker, Ivo V., et al.
Published: (2024)
Round Robin Active Sequential Change Detection for Dependent Multi-Channel Data
by: Chaudhuri, Anamitra, et al.
Published: (2024)
by: Chaudhuri, Anamitra, et al.
Published: (2024)
An Iterative Bayesian Robbins--Monro Sequence
by: Liu, Siwei, et al.
Published: (2025)
by: Liu, Siwei, et al.
Published: (2025)
Breakpoint based online anomaly detection
by: Krönert, Etienne, et al.
Published: (2024)
by: Krönert, Etienne, et al.
Published: (2024)
A Bayesian Optimal Phase II Design for Randomized Immunotherapy Trials with Delayed Treatment Effects
by: Cai, Zhongheng, et al.
Published: (2025)
by: Cai, Zhongheng, et al.
Published: (2025)
PROXIMA: A Reliability Scoring Framework for Proxy Metrics in Online Controlled Experiments
by: Amudala, Avinash
Published: (2026)
by: Amudala, Avinash
Published: (2026)
A new multivariate Poisson model
by: Murphy, Orla A., et al.
Published: (2024)
by: Murphy, Orla A., et al.
Published: (2024)
Batched Single-Index Global Multi-Armed Bandits with Covariates
by: Arya, Sakshi, et al.
Published: (2025)
by: Arya, Sakshi, et al.
Published: (2025)
Grouping predictors via network-wide metrics
by: Park, Brandon Woosuk, et al.
Published: (2024)
by: Park, Brandon Woosuk, et al.
Published: (2024)
Optimal Sequential Procedure for Early Detection of Multiple Side Effects
by: Wang, Jiayue, et al.
Published: (2024)
by: Wang, Jiayue, et al.
Published: (2024)
An exploration of sequential Bayesian variable selection -- A comment on García-Donato et al. (2025). "Model uncertainty and missing data: An objective Bayesian perspective"
by: Arnold, Sebastian, et al.
Published: (2025)
by: Arnold, Sebastian, et al.
Published: (2025)
Online Spectral Density Estimation
by: Kazi, Shahriar Hasnat, et al.
Published: (2025)
by: Kazi, Shahriar Hasnat, et al.
Published: (2025)
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)
Fuzzy Jump Models for Soft and Hard Clustering of Multivariate Time Series Data
by: Cortese, Federico P., et al.
Published: (2025)
by: Cortese, Federico P., et al.
Published: (2025)
Early Detection of Treatments Side Effect: A Sequential Approach
by: Wang, Jiayue, et al.
Published: (2024)
by: Wang, Jiayue, et al.
Published: (2024)
Sequential Monte Carlo Bandits
by: Urteaga, Iñigo, et al.
Published: (2018)
by: Urteaga, Iñigo, et al.
Published: (2018)
Local regression on path spaces with signature metrics
by: Bayer, Christian, et al.
Published: (2025)
by: Bayer, Christian, et al.
Published: (2025)
Principles of Statistical Inference in Online Problems
by: Leung, Man Fung, et al.
Published: (2022)
by: Leung, Man Fung, et al.
Published: (2022)
Operator on Operator Regression in Quantum Probability
by: Bhar, Suprio, et al.
Published: (2024)
by: Bhar, Suprio, et al.
Published: (2024)
Sequential FDR and pFDR control under arbitrary dependence, with application to pharmacovigilance database monitoring
by: Hankin, Michael, et al.
Published: (2024)
by: Hankin, Michael, 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)
Practical Boundary Degeneracy and Reverse-Martingale Limits in Sequential Binary Models
by: Chang, Yuan-chin Ivan
Published: (2026)
by: Chang, Yuan-chin Ivan
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)
Design-based causal inference in bipartite experiments
by: Lu, Sizhu, et al.
Published: (2025)
by: Lu, Sizhu, et al.
Published: (2025)
Sequential Outlier Detection in Non-Stationary Time Series
by: Heinrichs, Florian, et al.
Published: (2025)
by: Heinrichs, Florian, et al.
Published: (2025)
Differentially Private Fisher Randomization Tests for Binary Outcomes
by: Sun, Qingyang, et al.
Published: (2025)
by: Sun, Qingyang, et al.
Published: (2025)
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)
Estimation of Quantile Functionals in Linear Model
by: Jurečková, Jana, et al.
Published: (2024)
by: Jurečková, Jana, 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)
Sequential Change Detection in Correlation Structures with Window-Limited Statistics
by: Gao, Jie, et al.
Published: (2025)
by: Gao, Jie, et al.
Published: (2025)
The flexible Gumbel distribution: A new model for inference about the mode
by: Liu, Qingyang, et al.
Published: (2022)
by: Liu, Qingyang, et al.
Published: (2022)
Distributed sequential federated learning
by: Wang, Z. F., et al.
Published: (2023)
by: Wang, Z. F., et al.
Published: (2023)
seMCD: Sequentially implemented Monte Carlo depth computation with statistical guarantees
by: Gnettner, Felix, et al.
Published: (2025)
by: Gnettner, Felix, et al.
Published: (2025)
Generalized Stochastic Approximation of the Log-Likelihood Ratio for Robust Sequential Change-Point Detection
by: Zabolotnii, Serhii
Published: (2026)
by: Zabolotnii, Serhii
Published: (2026)
Similar Items
-
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2021) -
An Efficient Adaptive Sequential Procedure for Simple Hypotheses with Expression for Finite Number of Applications of Less Effective Treatment
by: Kundu, Sampurna, et al.
Published: (2025) -
Variational Sequential Optimal Experimental Design using Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2023) -
Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
by: Bai, Tian, et al.
Published: (2025) -
Graph Based, Adaptive, Multi Arm, Multiple Endpoint, Two Stage Design
by: Mehta, Cyrus, et al.
Published: (2025)