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Statistics Theory

Authors and titles for recent submissions, skipping first 36

[ total of 50 entries: 1-10 | 7-16 | 17-26 | 27-36 | 37-46 | 47-50 ]
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Fri, 10 May 2024 (continued, showing last 7 of 9 entries)

[37]  arXiv:2405.05644 [pdf, other]
Title: Estimation of ill-conditioned models using penalized sums of squares of the residuals
Comments: Working paper with 35 pages, 9 tables, 7 figures
Subjects: Statistics Theory (math.ST)
[38]  arXiv:2405.05597 [pdf, ps, other]
Title: The empirical copula process in high dimensions: Stute's representation and applications
Comments: 24 pages
Subjects: Statistics Theory (math.ST)
[39]  arXiv:2405.05419 [pdf, other]
Title: Decompounding Under General Mixing Distributions
Comments: 21 page, 2 figures
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[40]  arXiv:2405.05344 [pdf, other]
Title: A note on the minimax risk of sparse linear regression
Subjects: Statistics Theory (math.ST)
[41]  arXiv:2405.05512 (cross-list from cs.LG) [pdf, other]
Title: Characteristic Learning for Provable One Step Generation
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Numerical Analysis (math.NA); Statistics Theory (math.ST)
[42]  arXiv:2405.05459 (cross-list from stat.ME) [pdf, other]
Title: Estimation and Inference for Change Points in Functional Regression Time Series
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[43]  arXiv:2405.05403 (cross-list from stat.ME) [pdf, other]
Title: A fast and accurate inferential method for complex parametric models: the implicit bootstrap
Subjects: Methodology (stat.ME); Statistics Theory (math.ST); Computation (stat.CO)

Thu, 9 May 2024 (showing first 3 of 7 entries)

[44]  arXiv:2405.05110 [pdf, other]
Title: Uncertainty quantification in metric spaces
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
[45]  arXiv:2405.04715 [pdf, other]
Title: Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Comments: 47 pages, 5 figures with appendix
Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[46]  arXiv:2405.05190 (cross-list from stat.ML) [pdf, ps, other]
Title: Is Transductive Learning Equivalent to PAC Learning?
Subjects: Machine Learning (stat.ML); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Statistics Theory (math.ST)
[ total of 50 entries: 1-10 | 7-16 | 17-26 | 27-36 | 37-46 | 47-50 ]
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