:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Foo, Hui-Mean, Chang, Yuan-chin Ivan
Format:	Preprint
Published:	2026
Subjects:	Methodology 62
Online Access:	https://arxiv.org/abs/2604.22216
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PCA-Guided Quantile Sampling: Preserving Data Structure in Large-Scale Subsampling
by: Hui-Mean, Foo, 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)

Small-Area Precipitation Forecasting and Drought--Flood Early Warning with Reverse-Martingale Regularized Recurrent Networks
by: Hui-Mean, Foo, et al.
Published: (2026)

Efficient Data Reduction Via PCA-Guided Quantile Based Sampling
by: Hui-Mean, Foo, et al.
Published: (2026)

Integrating Multi-Armed Bandit, Active Learning, and Distributed Computing for Scalable Optimization
by: Hui-Mean, Foo, et al.
Published: (2026)

Practical Boundary Degeneracy and Reverse-Martingale Limits in Sequential Binary Models
by: Chang, Yuan-chin Ivan
Published: (2026)

Target-Oriented Statistical Compression: Sufficiency, Reverse Martingales, and Sequential Monitoring
by: Chang, Yuan-chin Ivan
Published: (2026)

Additive Logistic Models as Interpretable Likelihood-Ratio Scores for AUC-Based Classification
by: Chang, Yuan-chin Ivan
Published: (2015)

Optimal Sequential Procedure for Early Detection of Multiple Side Effects
by: Wang, Jiayue, et al.
Published: (2024)

Optimal Stopping Methodology for the Secretary Problem with Random Queries
by: Moustakides, George V., et al.
Published: (2021)

Variational Sequential Optimal Experimental Design using Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2023)

Sequential Experimental Designs for Kriging Model
by: Zheng, Ruonan, et al.
Published: (2026)

When Your Model Stops Working: Anytime-Valid Calibration Monitoring
by: Farran, Tristan
Published: (2026)

Clarifying identification and estimation of treatment effects in the Sequential Parallel Comparison Design
by: Stockton, Benjamin, et al.
Published: (2025)

Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2021)

Sequential FDR and pFDR control under arbitrary dependence, with application to pharmacovigilance database monitoring
by: Hankin, Michael, et al.
Published: (2024)

Sequential Outlier Detection in Non-Stationary Time Series
by: Heinrichs, Florian, et al.
Published: (2025)

Optimal Forecast Reconciliation with Uncertainty Quantification
by: Møller, Jan Kloppenborg, et al.
Published: (2024)

Optimal design of experiments with quantitative-sequence factors
by: Wang, Yaping, et al.
Published: (2025)

Discrete Sequential Barycenter Arrays: Representation, Approximation, and Modeling of Probability Measures
by: Jara, Alejandro, et al.
Published: (2025)

Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
by: Gao, Yuan, et al.
Published: (2024)

Copula-like inference for discrete bivariate distributions with rectangular supports
by: Kojadinovic, Ivan, et al.
Published: (2023)

MOODE: An R Package for Multi-Objective Optimal Design of Experiments
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)

Adaptive Randomization Methods for Sequential Multiple Assignment Randomized Trials (SMARTs) via Thompson Sampling
by: Norwood, Peter, et al.
Published: (2024)

Inference with Sequential Monte-Carlo Computation of $p$-values: Fast and Valid Approaches
by: Stoepker, Ivo V., et al.
Published: (2024)

Comment on "Sequential validation of treatment heterogeneity" and "Comment on generic machine learning inference on heterogeneous treatment effects in randomized experiments"
by: Chernozhukov, Victor, et al.
Published: (2025)

Early Detection of Treatments Side Effect: A Sequential Approach
by: Wang, Jiayue, et al.
Published: (2024)

Sequential Bootstrap for Out-of-Bag Error Estimation: A 100-Seed Replication Study and Variance-Structure Analysis
by: Peng, Cheng
Published: (2025)

Optimal Nonparametric Inference on Network Effects with Dependent Edges
by: Du, Wenqin, et al.
Published: (2024)

When Do Generalized Permutation Tests Achieve Optimal Power? A Dispersion Characterization
by: Kim, Yongmin, et al.
Published: (2026)

Multivariate Distribution-Free Nonparametric Testing: Generalizing Wilcoxon's Tests via Optimal Transport
by: Huang, Zhen, et al.
Published: (2025)

A Cheat Sheet for Bayesian Prediction
by: Clarke, Bertrand, et al.
Published: (2023)

Quantifying structural uncertainty in chemical reaction network inference
by: Foo, Yong See, et al.
Published: (2025)

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)

Optimal Design in Repeated Testing for Count Data
by: Parsamaram, Parisa, et al.
Published: (2024)

Inference for non-stationary time series quantile regression with inequality constraints
by: Sun, Yuan, et al.
Published: (2024)

Sequential Change Detection in Correlation Structures with Window-Limited Statistics
by: Gao, Jie, et al.
Published: (2025)

Round Robin Active Sequential Change Detection for Dependent Multi-Channel Data
by: Chaudhuri, Anamitra, et al.
Published: (2024)

Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
by: Wang, Shuoyang, et al.
Published: (2025)