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Methodology

Authors and titles for recent submissions, skipping first 47

[ total of 58 entries: 1-10 | ... | 18-27 | 28-37 | 38-47 | 48-57 | 58 ]
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Thu, 16 May 2024 (showing first 10 of 11 entries)

[48]  arXiv:2405.09536 [pdf, other]
Title: Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression
Authors: Takuo Matsubara
Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Machine Learning (stat.ML)
[49]  arXiv:2405.09485 [pdf, other]
Title: Predicting Future Change-points in Time Series
Comments: 37 pages, 4 figures
Subjects: Methodology (stat.ME)
[50]  arXiv:2405.09331 [pdf, other]
Title: Multi-Source Conformal Inference Under Distribution Shift
Comments: Accepted to ICML 2024, 39 pages, 13 figures
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[51]  arXiv:2405.09149 [pdf, other]
Title: Exploring uniformity and maximum entropy distribution on torus through intrinsic geometry: Application to protein-chemistry
Comments: arXiv admin note: text overlap with arXiv:2304.01599
Subjects: Methodology (stat.ME)
[52]  arXiv:2405.09080 [pdf, ps, other]
Title: Causal Inference for a Hidden Treatment
Subjects: Methodology (stat.ME)
[53]  arXiv:2405.09003 [pdf, other]
Title: Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
Comments: 74 pages (23 pages for the main paper), 4 figures
Subjects: Methodology (stat.ME); Statistics Theory (math.ST); Applications (stat.AP)
[54]  arXiv:2405.08912 [pdf, other]
Title: High dimensional test for functional covariates
Comments: 35 pages,4 figures, 4 tables
Subjects: Methodology (stat.ME)
[55]  arXiv:2405.08853 [pdf, other]
Title: Evaluating the Uncertainty in Mean Residual Times: Estimators Based on Residence Times from Discrete Time Processes
Subjects: Methodology (stat.ME); Data Analysis, Statistics and Probability (physics.data-an)
[56]  arXiv:2405.08841 [pdf, ps, other]
Title: Best practices for estimating and reporting epidemiological delay distributions of infectious diseases using public health surveillance and healthcare data
Subjects: Methodology (stat.ME)
[57]  arXiv:2405.09076 (cross-list from cs.LG) [pdf, other]
Title: Enhancing Airline Customer Satisfaction: A Machine Learning and Causal Analysis Approach
Authors: Tejas Mirthipati (Georgia Institute Of Technology)
Comments: 7 pages, 19 figures
Subjects: Machine Learning (cs.LG); Methodology (stat.ME)
[ total of 58 entries: 1-10 | ... | 18-27 | 28-37 | 38-47 | 48-57 | 58 ]
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