Statistics Theory

Authors and titles for math.ST in Oct 2023, skipping first 200

[201]  arXiv:2310.17308 (cross-list from stat.ME) [pdf, other]

Title: Wild Bootstrap for Counting Process-Based Statistics

Authors: Marina T. Dietrich, Dennis Dobler, Mathisca C. M. de Gunst

Comments: 2 parts, 115 pages, 2 figures, 13 tables

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

[202]  arXiv:2310.17374 (cross-list from stat.CO) [pdf, other]

Title: Using autodiff to estimate posterior moments, marginals and samples

Authors: Sam Bowyer, Thomas Heap, Laurence Aitchison

Subjects: Computation (stat.CO); Statistics Theory (math.ST)

[203]  arXiv:2310.17582 (cross-list from stat.ML) [pdf, other]

Title: Convergence of flow-based generative models via proximal gradient descent in Wasserstein space

Authors: Xiuyuan Cheng, Jianfeng Lu, Yixin Tan, Yao Xie

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC); Statistics Theory (math.ST)

[204]  arXiv:2310.18074 (cross-list from cs.LG) [pdf, ps, other]

Title: On kernel-based statistical learning in the mean field limit

Authors: Christian Fiedler, Michael Herty, Sebastian Trimpe

Comments: NeurIPS 2023

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[205]  arXiv:2310.18422 (cross-list from stat.ME) [pdf, other]

Title: Inference via Wild Bootstrap and Multiple Imputation under Fine-Gray Models with Incomplete Data

Authors: Marina T. Dietrich, Dennis Dobler, Mathisca C. M. de Gunst

Comments: 32 pages, 2 figures, 1 table

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

[206]  arXiv:2310.18658 (cross-list from q-fin.RM) [pdf, other]

Title: Estimating Systemic Risk within Financial Networks: A Two-Step Nonparametric Method

Authors: Weihuan Huang

Comments: 40 pages

Subjects: Risk Management (q-fin.RM); Statistics Theory (math.ST); Statistical Finance (q-fin.ST); Applications (stat.AP)

[207]  arXiv:2310.18784 (cross-list from cs.LG) [pdf, other]

Title: High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise

Authors: Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

Comments: 30 pages, 3 figures

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Statistics Theory (math.ST); Machine Learning (stat.ML)

[208]  arXiv:2310.19041 (cross-list from stat.ML) [pdf, other]

Title: On Linear Separation Capacity of Self-Supervised Representation Learning

Authors: Shulei Wang

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)

[209]  arXiv:2310.19138 (cross-list from cs.SI) [pdf, other]

Title: Backward and Forward Inference in Interacting Independent-Cascade Processes: A Scalable and Convergent Message-Passing Approach

Authors: Nouman Khan, Kangle Mu, Mehrdad Moharrami, Vijay Subramanian

Subjects: Social and Information Networks (cs.SI); Statistics Theory (math.ST); Machine Learning (stat.ML)

[210]  arXiv:2310.19662 (cross-list from eess.SY) [pdf, other]

Title: Generating synthetic power grids using exponential random graphs models

Authors: Francesco Giacomarra, Gianmarco Bet, Alessandro Zocca

Subjects: Systems and Control (eess.SY); Probability (math.PR); Statistics Theory (math.ST); Data Analysis, Statistics and Probability (physics.data-an); Applications (stat.AP)

[211]  arXiv:2310.19973 (cross-list from stat.ML) [pdf, other]

Title: Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy

Authors: Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie J. Su

Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)

[212]  arXiv:2310.20163 (cross-list from cs.SI) [pdf, other]

Title: A Perturbative Solution to the Linear Influence/Network Autocorrelation Model Under Network Dynamics

Authors: Carter T. Butts

Subjects: Social and Information Networks (cs.SI); Statistics Theory (math.ST)

[213]  arXiv:2310.20460 (cross-list from stat.ME) [pdf, other]

Title: Aggregating Dependent Signals with Heavy-Tailed Combination Tests

Authors: Lin Gui, Yuchao Jiang, Jingshu Wang

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

[214]  arXiv:2310.20609 (cross-list from stat.ML) [pdf, other]

Title: Graph Matching via convex relaxation to the simplex

Authors: Ernesto Araya Valdivia, Hemant Tyagi

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)