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Authors and titles for June 2025

[301] arXiv:2506.11043 [cn-pdf, pdf, html, other]

Title: A Framework for Non-Linear Attention via Modern Hopfield Networks Show Chinese title

Title: 基于现代 Hopfield 网络的非线性注意力框架

Ahmed Farooq

Comments: 15 pages

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Neural and Evolutionary Computing (cs.NE)

[302] arXiv:2506.11061 [cn-pdf, pdf, other]

Title: Probabilistic Assessment of Engineered Timber Reusability after Moisture Exposure Show Chinese title

Title: 受潮后工程木材再利用的概率评估

Yiping Meng, Chulin Jiang, Courtney Jayne Scurr, Farzad Pour Rahimian, David Hughes

Comments: 10 pages, 9 figures

Subjects: Applications (stat.AP) ; General Economics (econ.GN)

[303] arXiv:2506.11161 [cn-pdf, pdf, html, other]

Title: Longitudinal Omics Data Analysis: A Review on Models, Algorithms, and Tools Show Chinese title

Title: 纵向组学数据分析：模型、算法和工具综述

Ali R. Taheriyoun, Allen Ross, Abolfazl Safikhani, Damoon Soudbakhsh, Ali Rahnavard

Subjects: Methodology (stat.ME) ; Quantitative Methods (q-bio.QM)

[304] arXiv:2506.11229 [cn-pdf, pdf, other]

Title: Advancing clustering methods in physics education research: A case for mixture models Show Chinese title

Title: 推动物理学教育研究中的聚类方法：混合模型案例

Minghui Wang, Meagan Sundstrom, Karen Nylund-Gibson, Marsha Ing

Subjects: Methodology (stat.ME) ; Physics Education (physics.ed-ph)

[305] arXiv:2506.11232 [cn-pdf, pdf, html, other]

Title: Regularized Estimation of the Loading Matrix in Factor Models for High-Dimensional Time Series Show Chinese title

Title: 因子模型中高维时间序列的载荷矩阵正则化估计

Xialu Liu, Xin Wang

Subjects: Methodology (stat.ME)

[306] arXiv:2506.11251 [cn-pdf, pdf, other]

Title: Measuring multi-calibration Show Chinese title

Title: 多校准测量

Ido Guy, Daniel Haimovich, Fridolin Linder, Nastaran Okati, Lorenzo Perini, Niek Tax, Mark Tygert

Comments: 25 pages, 12 tables

Subjects: Methodology (stat.ME) ; Artificial Intelligence (cs.AI) ; Machine Learning (cs.LG)

[307] arXiv:2506.11271 [cn-pdf, pdf, html, other]

Title: Collaborative Prediction: To Join or To Disjoin Datasets Show Chinese title

Title: 协作预测：合并还是拆分数据集

Kyung Rok Kim, Yansong Wang, Xiaocheng Li, Guanting Chen

Comments: To be published in the 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[308] arXiv:2506.11317 [cn-pdf, pdf, html, other]

Title: Variance estimation after matching or re-weighting Show Chinese title

Title: 匹配或重新加权后的方差估计

Xiang Meng, Aaron Smith, Luke Miratrix

Comments: 31 pages of main text, including 1 figure and 2 tables; 62 pages total with appendix

Subjects: Methodology (stat.ME) ; Statistics Theory (math.ST)

[309] arXiv:2506.11322 [cn-pdf, pdf, html, other]

Title: Bayesian Sensitivity Analysis for Causal Estimation with Time-varying Unmeasured Confounding Show Chinese title

Title: 时变未测量混杂因素的因果估计的贝叶斯敏感性分析

Yushu Zou, Liangyuan Hu, Amanda Ricciuto, Mark Deneau, Kuan Liu

Subjects: Methodology (stat.ME)

[310] arXiv:2506.11354 [cn-pdf, pdf, html, other]

Title: Rating competitors in games with strength-dependent tie probabilities Show Chinese title

Title: 根据实力决定平局概率的游戏中的竞争者评分

Mark E. Glickman

Subjects: Methodology (stat.ME)

[311] arXiv:2506.11367 [cn-pdf, pdf, html, other]

Title: Coefficient Shape Transfer Learning for Functional Linear Regression Show Chinese title

Title: 系数形状迁移学习用于函数线性回归

Shuhao Jiao, Ian W. Mckeague

Subjects: Methodology (stat.ME) ; Machine Learning (stat.ML)

[312] arXiv:2506.11369 [cn-pdf, pdf, html, other]

Title: Filtrated Kinematic Connectivity Analysis for Lower-limb Joint Effective Age Evaluation Show Chinese title

Title: 下肢关节有效年龄评估的分层运动连通性分析

Shuhao Jiao, Hernando Ombao, Ian W. McKeague

Subjects: Methodology (stat.ME) ; Computation (stat.CO)

[313] arXiv:2506.11399 [cn-pdf, pdf, html, other]

Title: Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process Show Chinese title

Title: 足球比赛中随时间变化的主场优势：从非平稳因果过程学习

Minhao Qi, Hengrui Cai, Guanyu Hu, Weining Shen

Subjects: Applications (stat.AP) ; Machine Learning (stat.ML)

[314] arXiv:2506.11416 [cn-pdf, pdf, html, other]

Title: Node Splitting SVMs for Survival Trees Based on an L2-Regularized Dipole Splitting Criteria Show Chinese title

Title: 基于L2正则化偶极分裂标准的生存树的节点分裂SVMs

Aye Aye Maung, Drew Lazar, Qi Zheng

Subjects: Methodology (stat.ME) ; Machine Learning (stat.ML)

[315] arXiv:2506.11424 [cn-pdf, pdf, html, other]

Title: Local empirical Bayes correction for Bayesian modeling Show Chinese title

Title: 局部经验贝叶斯校正用于贝叶斯建模

Yoshiko Hayashi

Journal-ref: Osaka Keidai Ronshu, vol.68, no.4, pp.161-172, 2017

Subjects: Methodology (stat.ME) ; Statistics Theory (math.ST)

[316] arXiv:2506.11456 [cn-pdf, pdf, html, other]

Title: Fast Bayesian Optimization of Function Networks with Partial Evaluations Show Chinese title

Title: 带有部分评估的功能网络的快速贝叶斯优化

Poompol Buathong, Peter I. Frazier

Comments: 16 pages, 8 figures, 1 table

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[317] arXiv:2506.11460 [cn-pdf, pdf, html, other]

Title: On Devon Allen's Disqualification at the 2022 World Track and Field Championships Show Chinese title

Title: 关于德文·艾伦在2022年世界田径锦标赛上的取消资格

Owen Fiore, Elizabeth D. Schifano, Jun Yan

Comments: 21 pages, 3 figures with 5-page supplement. For associated GitHub repository, see https://github.com/ofiore/Thesis

Subjects: Applications (stat.AP)

[318] arXiv:2506.11471 [cn-pdf, pdf, html, other]

Title: A Review and Comparison of Different Sensitivity Analysis Techniques in Practice Show Chinese title

Title: 实践中的不同灵敏度分析技术的回顾与比较

Devin Francom, Abigael Nachtsheim

Subjects: Methodology (stat.ME)

[319] arXiv:2506.11482 [cn-pdf, pdf, html, other]

Title: Data Integration With Biased Summary Data via Generalized Entropy Balancing Show Chinese title

Title: 带有偏斜汇总数据的数据集成通过广义熵平衡

Kosuke Morikawa, Sho Komukai, Satoshi Hattori

Comments: 18 pages, 3 figures, 2 tables

Subjects: Methodology (stat.ME)

[320] arXiv:2506.11509 [cn-pdf, pdf, html, other]

Title: A Two-step Estimating Approach for Heavy-tailed AR Models with General Non-zero Median Noises Show Chinese title

Title: 两步估计法用于具有广义非零中位数噪声的重尾AR模型

Rui She, Linlin Dai, Shiqing Ling

Subjects: Methodology (stat.ME)

[321] arXiv:2506.11564 (cross-list from math.ST) [cn-pdf, pdf, other]

Title: Inference post region selection Show Chinese title

Title: 区域选择后的推理

Dominique Bontemps (IMT), François Bachoc (IMT, ANITI), Pierre Neuvial (IMT)

Subjects: Statistics Theory (math.ST)

[322] arXiv:2506.11587 [cn-pdf, pdf, other]

Title: Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies Show Chinese title

Title: 间接治疗比较的方法学进展与挑战：国际指南与HAS TC案例研究回顾

Matthias Monnereau, Ana Jarne, Axel Benoist, Clémence Fradet, Maurice Perol, Thomas Filleron, Louise Baschet

Comments: 23 pages, 4 tables, 2 figures, 3 supplementary materials

Subjects: Methodology (stat.ME)

[323] arXiv:2506.11683 [cn-pdf, pdf, html, other]

Title: On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions Show Chinese title

Title: 关于多保真度和降维神经 emulator 对生理边界条件推断的性能

Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi, Alison L. Marsden

Subjects: Machine Learning (stat.ML) ; Computational Engineering, Finance, and Science (cs.CE) ; Machine Learning (cs.LG) ; Statistics Theory (math.ST) ; Quantitative Methods (q-bio.QM)

[324] arXiv:2506.11751 [cn-pdf, pdf, html, other]

Title: Bias and Identifiability in the Bounded Confidence Model Show Chinese title

Title: 有界信心模型中的偏见与可识别性

Claudio Borile, Jacopo Lenti, Valentina Ghidini, Corrado Monti, Gianmarco De Francisci Morales

Comments: 13 pages, 8 figures

Subjects: Methodology (stat.ME) ; Computers and Society (cs.CY) ; Machine Learning (cs.LG) ; Physics and Society (physics.soc-ph)

[325] arXiv:2506.11761 [cn-pdf, pdf, html, other]

Title: Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty Show Chinese title

Title: 利用深度算子构建不确定性动力系统下的时空代理模型

Jichuan Tang, Patrick T. Brewick, Ryan G. McClarren, Christopher Sweet

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)