Saved in:
| Main Authors: | Wu, Yuhang, Zheng, Zeyu, Wang, Yingfei, Zhang, Guangyu, Zhang, Zuohua, Wang, Chu |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2210.06737 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distributionally Robust Optimization and Robust Statistics
by: Blanchet, Jose, et al.
Published: (2024)
by: Blanchet, Jose, et al.
Published: (2024)
Statistical Inference for Fuzzy Clustering
by: Wu, Qiuyi, et al.
Published: (2026)
by: Wu, Qiuyi, et al.
Published: (2026)
Scoring Rules with Normalized Upper Order Statistics for Tail Inference
by: Bladt, Martin, et al.
Published: (2026)
by: Bladt, Martin, et al.
Published: (2026)
Large Language Model Enhanced Machine Learning Estimators for Classification
by: Wu, Yuhang, et al.
Published: (2024)
by: Wu, Yuhang, et al.
Published: (2024)
Selecting the Best Optimizing System
by: Si, Nian, et al.
Published: (2022)
by: Si, Nian, et al.
Published: (2022)
Gradient-Based Approximate Bayesian Inference with Entropy-Optimized Summary Statistics for Compartmental Models
by: Li, Xiahui, et al.
Published: (2024)
by: Li, Xiahui, et al.
Published: (2024)
Estimating the Joint Distribution of Two Binary Variables with Marginal Statistics
by: Shang, Longwen, et al.
Published: (2025)
by: Shang, Longwen, et al.
Published: (2025)
Subsampled One-Step Estimation for Fast Statistical Inference
by: Su, Miaomiao, et al.
Published: (2024)
by: Su, Miaomiao, et al.
Published: (2024)
Convex Mixed-Integer Programming for Causal Additive Models with Optimization and Statistical Guarantees
by: Zhang, Xiaozhu, et al.
Published: (2025)
by: Zhang, Xiaozhu, et al.
Published: (2025)
Online Joint Assortment-Inventory Optimization under MNL Choices
by: Liang, Yong, et al.
Published: (2023)
by: Liang, Yong, et al.
Published: (2023)
Joint Dynamic Models and Statistical Inference for Recurrent Competing Risks, Longitudinal Marker, and Health Status
by: Tong, Lili, et al.
Published: (2021)
by: Tong, Lili, et al.
Published: (2021)
Statistical Inference for Cell Type Deconvolution
by: Xie, Dongyue, et al.
Published: (2022)
by: Xie, Dongyue, et al.
Published: (2022)
Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
by: Liu, Zhaozhe, et al.
Published: (2026)
by: Liu, Zhaozhe, et al.
Published: (2026)
Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by: Wang, Xueqin, et al.
Published: (2021)
by: Wang, Xueqin, et al.
Published: (2021)
Statistical Inference for Chi-square Statistics or F-Statistics Based on Multiple Imputation
by: Wang, Binhuan, et al.
Published: (2024)
by: Wang, Binhuan, et al.
Published: (2024)
Can language models boost the power of randomized experiments without statistical bias?
by: Ruan, Xinrui, et al.
Published: (2025)
by: Ruan, Xinrui, et al.
Published: (2025)
Classification-Powered Conformal Inference for Zero-inflated Outcomes
by: Li, Zhirui, et al.
Published: (2026)
by: Li, Zhirui, et al.
Published: (2026)
Inference of Half Logistic Geometric Distribution Based on Generalized Order Statistics
by: Gupta, Neetu, et al.
Published: (2025)
by: Gupta, Neetu, et al.
Published: (2025)
Statistical Inference for Differentially Private Stochastic Gradient Descent
by: Xia, Xintao, et al.
Published: (2025)
by: Xia, Xintao, et al.
Published: (2025)
Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications
by: Agterberg, Joshua, et al.
Published: (2024)
by: Agterberg, Joshua, et al.
Published: (2024)
Sequential Design with Derived Win Statistics
by: Zhang, Baoshan, et al.
Published: (2024)
by: Zhang, Baoshan, et al.
Published: (2024)
Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
by: Meng, Kun, et al.
Published: (2022)
by: Meng, Kun, et al.
Published: (2022)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance
by: Lian, Teng, et al.
Published: (2025)
by: Lian, Teng, et al.
Published: (2025)
Honest Inference for Stochastic Optimization
by: Takatsu, Kenta, et al.
Published: (2025)
by: Takatsu, Kenta, et al.
Published: (2025)
Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations
by: Zhang, Yongxia, et al.
Published: (2025)
by: Zhang, Yongxia, et al.
Published: (2025)
A Framework for Statistical Inference via Randomized Algorithms
by: Zhang, Zhixiang, et al.
Published: (2023)
by: Zhang, Zhixiang, et al.
Published: (2023)
Modeling Latent Underdispersion with Discrete Order Statistics
by: Lederman, Jimmy, et al.
Published: (2025)
by: Lederman, Jimmy, et al.
Published: (2025)
Active Statistical Inference
by: Zrnic, Tijana, et al.
Published: (2024)
by: Zrnic, Tijana, et al.
Published: (2024)
Statistical Inference for Smoothed Support Vector Machines in High Dimensions: From Offline to Online Data
by: Zhou, Shuya, et al.
Published: (2026)
by: Zhou, Shuya, et al.
Published: (2026)
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
Data-Driven Influence Functions for Optimization-Based Causal Inference
by: Jordan, Michael I., et al.
Published: (2022)
by: Jordan, Michael I., et al.
Published: (2022)
A Personalized Predictive Model that Jointly Optimizes Discrimination and Calibration
by: Krikella, Tatiana, et al.
Published: (2024)
by: Krikella, Tatiana, et al.
Published: (2024)
Statistical Inference with Nonignorable Non-Probability Survey Samples
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
by: Ma, Shujie, et al.
Published: (2024)
by: Ma, Shujie, et al.
Published: (2024)
Safe, Always-Valid Alpha-Investing Rules For Doubly Sequential Online Inference
by: Yao, Zeyu, et al.
Published: (2025)
by: Yao, Zeyu, et al.
Published: (2025)
Statistical inference with win statistics in cluster-randomized trials with composite outcomes
by: Fang, Xi, et al.
Published: (2026)
by: Fang, Xi, et al.
Published: (2026)
Adaptive Decentralized Federated Learning for Robust Optimization
by: Wu, Shuyuan, et al.
Published: (2025)
by: Wu, Shuyuan, et al.
Published: (2025)
Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
Experimental Design For Causal Inference Through An Optimization Lens
by: Zhao, Jinglong
Published: (2024)
by: Zhao, Jinglong
Published: (2024)
Similar Items
-
Distributionally Robust Optimization and Robust Statistics
by: Blanchet, Jose, et al.
Published: (2024) -
Statistical Inference for Fuzzy Clustering
by: Wu, Qiuyi, et al.
Published: (2026) -
Scoring Rules with Normalized Upper Order Statistics for Tail Inference
by: Bladt, Martin, et al.
Published: (2026) -
Large Language Model Enhanced Machine Learning Estimators for Classification
by: Wu, Yuhang, et al.
Published: (2024) -
Selecting the Best Optimizing System
by: Si, Nian, et al.
Published: (2022)