:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yan, Hanchao, Wang, Feifei, Xia, Chuanxin, Wang, Hansheng
Format:	Preprint
Publié:	2025
Sujets:	Statistics Theory
Accès en ligne:	https://arxiv.org/abs/2501.03463
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Profiled Transfer Learning for High Dimensional Linear Model
par: Lin, Ziqian, et autres
Publié: (2024)

Error bounds of Median-of-means estimators with VC-dimension
par: Wang, Yuxuan, et autres
Publié: (2024)

Non-asymptotic Properties of Generalized Mondrian Forests in Statistical Learning
par: Zhan, Haoran, et autres
Publié: (2024)

A Nonparametric Maximum Likelihood Approach to Mixture of Regression
par: Jiang, Hansheng, et autres
Publié: (2021)

A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
par: Li, Xuetong, et autres
Publié: (2024)

Robust Mean Estimation With Auxiliary Samples
par: Han, Barron, et autres
Publié: (2025)

Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
par: Ma, Wanteng, et autres
Publié: (2024)

Statistical inference on kurtosis of elliptical distributions
par: Zhou, Bowen, et autres
Publié: (2024)

Bounding Conditional Value-at-Risk via Auxiliary Distributions with Bounded Discrepancies
par: Pariente, Yaacov, et autres
Publié: (2025)

Consistency of Oblique Decision Tree and its Boosting and Random Forest
par: Zhan, Haoran, et autres
Publié: (2022)

Statistical Analysis of Data Repeatability Measures
par: Wang, Zeyi, et autres
Publié: (2020)

Toward Optimal Statistical Inference in Noisy Linear Quadratic Reinforcement Learning over a Finite Horizon
par: Pan, Bo, et autres
Publié: (2025)

Semiparametric Efficient Fusion of Individual Data and Summary Statistics
par: Hu, Wenjie, et autres
Publié: (2022)

Statistical Inference for Cell Type Deconvolution
par: Xie, Dongyue, et autres
Publié: (2022)

Jackknife Empirical Likelihood Method for U Statistics Based on Multivariate Samples and its Applications
par: Garg, Naresh, et autres
Publié: (2024)

A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
par: Chen, Junren, et autres
Publié: (2025)

Large Deviations for Sequential Tests of Statistical Sequence Matching
par: Zhou, Lin, et autres
Publié: (2025)

Large and Small Deviations for Statistical Sequence Matching
par: Zhou, Lin, et autres
Publié: (2024)

Understanding the ratio of the partition sum to its Bethe approximation via double covers
par: Vontobel, Pascal O.
Publié: (2025)

The Statistical Cost of Adaptation in Multi-Source Transfer Learning
par: Chakraborty, Abhinav, et autres
Publié: (2026)

Statistical Learning Theory for Neural Operators
par: Reinhardt, Niklas, et autres
Publié: (2024)

Statistical Mean Estimation with Coded Relayed Observations
par: Ling, Yan Hao, et autres
Publié: (2025)

Arithmetic Average Density Fusion -- Part I: Some Statistic and Information-theoretic Results
par: Li, Tiancheng, et autres
Publié: (2021)

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
par: Shi, Jieru, et autres
Publié: (2023)

A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
par: Lin, Licong, et autres
Publié: (2025)

The Bayesian Way: Uncertainty, Learning, and Statistical Reasoning
par: Sosa, Juan, et autres
Publié: (2025)

Statistical inference for rough volatility: Minimax Theory
par: Chong, Carsten, et autres
Publié: (2022)

Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories
par: Zhang, Haobo, et autres
Publié: (2024)

Statistical Learning Theory for Distributional Classification
par: Fiedler, Christian
Publié: (2026)

Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial
par: Star, et autres
Publié: (2024)

High Order Expansion Method for Kuiper's $V_n$ Statistic in Goodness-of-fit Test
par: Zhang, Hong-Yan, et autres
Publié: (2023)

Perturbation Analysis of Randomized SVD and its Applications to Statistics
par: Zhang, Yichi, et autres
Publié: (2022)

Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
par: Watanabe, Sumio
Publié: (2024)

Extended Fiducial Inference: Toward an Automated Process of Statistical Inference
par: Liang, Faming, et autres
Publié: (2024)

Multitask Learning and Bandits via Robust Statistics
par: Xu, Kan, et autres
Publié: (2021)

Statistical Independence and the Brockwell Transform -- From an Integral Equation Perspective
par: Wang, Xingzhi
Publié: (2024)

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
par: Wang, Xueqin, et autres
Publié: (2021)

Noisy Low-Rank Matrix Completion via Transformed $L_1$ Regularization and its Theoretical Properties
par: Zhao, Kun, et autres
Publié: (2025)

Statistical analysis of Inverse Entropy-regularized Reinforcement Learning
par: Belomestny, Denis, et autres
Publié: (2025)

Statistical Learning Guarantees for Group-Invariant Barron Functions
par: Yang, Yahong, et autres
Publié: (2025)