Data Analysis, Statistics and Probability

Authors and titles for February 2025

[51] arXiv:2502.18327 (cross-list from astro-ph.CO) [cn-pdf, pdf, html, other]

Title: Sparsity covariance: a source of uncertainty when estimating correlation functions with a discrete sample of observations in the sky Show Chinese title

Title: 稀疏协方差：在使用天空中离散观测样本估计相关函数时的不确定性来源

Pierre Fleury

Comments: 13 + 4 pages, 7 figures. v2: added illustration with KiDS1000 covariance; typos corrected in Eqs. (69), (70); added references; version accepted for publication in the Open Journal of Astrophysics; v3: added reference

Journal-ref: The Open Journal of Astrophysics Vol. 8 (May) 2025

Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO) ; Data Analysis, Statistics and Probability (physics.data-an)

[52] arXiv:2502.19234 (cross-list from physics.ao-ph) [cn-pdf, pdf, other]

Title: Arctic teleconnection on climate and ozone pollution in the polar jet stream path of eastern US Show Chinese title

Title: 北极遥相关对美国东部极地急流路径上气候和臭氧污染的影响

K Shuvo Bakar, Sourish Das, Sudeep Shukla, Anirban Chakraborti

Comments: 19 pages, 6 figures

Subjects: Atmospheric and Oceanic Physics (physics.ao-ph) ; Data Analysis, Statistics and Probability (physics.data-an) ; Applications (stat.AP)

[53] arXiv:2502.19350 (cross-list from cs.SI) [cn-pdf, pdf, html, other]

Title: Estimating Nodal Spreading Influence Using Partial Temporal Network Show Chinese title

Title: 使用部分时间网络估计节点传播影响

Tianrui Mao, Shilun Zhang, Alan Hanjalic, Huijuan Wang

Subjects: Social and Information Networks (cs.SI) ; Data Analysis, Statistics and Probability (physics.data-an)

[54] arXiv:2502.19714 (cross-list from eess.SY) [cn-pdf, pdf, html, other]

Title: Dynamics on Lie groups with applications to attitude estimation Show Chinese title

Title: 李群上的动力学及其在姿态估计中的应用

T. Forrest Kieffer, Michael Wall

Comments: 51 pages, 3 figures, submitted to AIAA/JGCD

Subjects: Systems and Control (eess.SY) ; Dynamical Systems (math.DS) ; Data Analysis, Statistics and Probability (physics.data-an)

[55] arXiv:2502.20211 (cross-list from stat.ME) [cn-pdf, pdf, html, other]

Title: A New Method for High-Resolution Dating of Radiocarbon Data: The Example of the First Three Centuries B.C Show Chinese title

Title: 一种高分辨率放射性碳数据年代测定的新方法：公元前前三世纪的实例

Sebastian Fürst

Comments: 30 pages, 14 figures, 14 appendices

Subjects: Methodology (stat.ME) ; Data Analysis, Statistics and Probability (physics.data-an) ; Geophysics (physics.geo-ph) ; Applications (stat.AP)

[56] arXiv:2502.20793 (cross-list from physics.bio-ph) [cn-pdf, pdf, html, other]

Title: Towards Ultimate NMR Resolution with Deep Learning Show Chinese title

Title: 利用深度学习实现终极核磁共振分辨率

Amir Jahangiri, Tatiana Agback, Ulrika Brath, Vladislav Orekhov

Subjects: Biological Physics (physics.bio-ph) ; Machine Learning (cs.LG) ; Data Analysis, Statistics and Probability (physics.data-an)

[57] arXiv:2502.20862 (cross-list from q-bio.NC) [cn-pdf, pdf, html, other]

Title: Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics Show Chinese title

Title: 基于视觉信息学的动态皮层神经元网络分析

Ho Fai Po, Akke Mats Houben, Anna-Christina Haeb, Yordan P. Raykov, Daniel Tornero, Jordi Soriano, David Saad

Subjects: Neurons and Cognition (q-bio.NC) ; Disordered Systems and Neural Networks (cond-mat.dis-nn) ; Data Analysis, Statistics and Probability (physics.data-an) ; Physics and Society (physics.soc-ph)

[58] arXiv:2502.21009 (cross-list from stat.ML) [cn-pdf, pdf, html, other]

Title: Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking) Show Chinese title

Title: 位置：首先求解分层线性模型以理解神经动力学现象（神经坍缩、涌现、懒惰/丰富模式和领悟）

Yoonsoo Nam, Seok Hyeong Lee, Clementine C J Domine, Yeachan Park, Charles London, Wonyl Choi, Niclas Goring, Seungjai Lee

Comments: accepted to ICML 2025 position track

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Data Analysis, Statistics and Probability (physics.data-an)

[59] arXiv:2502.21266 (cross-list from cs.DC) [cn-pdf, pdf, html, other]

Title: Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform Show Chinese title

Title: 支持在具有 AI_INFN 平台的联邦云中为基础科学开发机器学习

Lucio Anderlini, Matteo Barbetti, Giulio Bianchini, Diego Ciangottini, Stefano Dal Pra, Diego Michelotto, Carmelo Pellegrino, Rosa Petrini, Alessandro Pascolini, Daniele Spiga

Comments: To be published in EPJ Web of Conferences (CHEP 2024)

Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) ; Artificial Intelligence (cs.AI) ; Data Analysis, Statistics and Probability (physics.data-an)