Methodology

Authors and titles for recent submissions

• Fri, 21 Jun 2024
• Wed, 19 Jun 2024
• Tue, 18 Jun 2024
• Mon, 17 Jun 2024
• Fri, 14 Jun 2024

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Fri, 21 Jun 2024 (showing 25 of 25 entries )

[1] arXiv:2406.14535 [pdf, html, other]

Title: On estimation and order selection for multivariate extremes via clustering

Shiyuan Deng, He Tang, Shuyang Bai

Comments: 31 pages, 12 figures

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

[2] arXiv:2406.14453 [pdf, html, other]

Title: The Effective Number of Parameters in Kernel Density Estimation

Sofia Guglielmini, Igor Volobouev, Alexandre Trindade

Subjects: Methodology (stat.ME)

[3] arXiv:2406.14184 [pdf, html, other]

Title: On integral priors for multiple comparison in Bayesian model selection

Diego Salmerón, Juan Antonio Cano, Christian P. Robert

Subjects: Methodology (stat.ME)

[4] arXiv:2406.14182 [pdf, html, other]

Title: Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors

Luke Hardcastle, Samuel Livingstone, Gianluca Baio

Comments: 22 pages, 9 figures

Subjects: Methodology (stat.ME); Applications (stat.AP)

[5] arXiv:2406.13938 [pdf, html, other]

Title: Coverage of Credible Sets for Regression under Variable Selection

Samhita Pal, Subhashis Ghosal

Subjects: Methodology (stat.ME)

[6] arXiv:2406.13906 [pdf, html, other]

Title: Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data

Ye Tian, Peng Wu, Zhiqiang Tan

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

[7] arXiv:2406.13876 [pdf, html, other]

Title: An Empirical Bayes Jackknife Regression Framework for Covariance Matrix Estimation

Huqin Xin, Sihai Dave Zhao

Comments: 13 pages, 3 figures

Subjects: Methodology (stat.ME)

[8] arXiv:2406.13836 [pdf, html, other]

Title: Mastering Rare Event Analysis: Optimal Subsample Size in Logistic and Cox Regressions

Tal Agassi, Nir Keret, Malka Gorfine

Subjects: Methodology (stat.ME)

[9] arXiv:2406.13833 [pdf, html, other]

Title: Cluster Quilting: Spectral Clustering for Patchwork Learning

Lili Zheng, Andersen Chang, Genevera I. Allen

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

[10] arXiv:2406.13691 [pdf, html, other]

Title: Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs

Adam Gorm Hoffmann, Claus Thorn Ekstrøm, Andreas Kryger Jensen

Comments: 48 pages, 3 figures

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

[11] arXiv:2406.13635 [pdf, html, other]

Title: Temporal label recovery from noisy dynamical data

Yuehaw Khoo, Xin T. Tong, Wanjie Wang, Yuguan Wang

Comments: 20 pages, 4 figures

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

[12] arXiv:2406.13500 [pdf, html, other]

Title: Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas

David Jobst, Annette Möller, Jürgen Groß

Subjects: Methodology (stat.ME); Applications (stat.AP)

[13] arXiv:2406.13478 [pdf, html, other]

Title: Semiparametric Localized Principal Stratification Analysis with Continuous Strata

Yichi Zhang, Shu Yang

Subjects: Methodology (stat.ME)

[14] arXiv:2406.13310 [pdf, html, other]

Title: A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data

Laura D'Angelo, Francesco Denti

Subjects: Methodology (stat.ME); Applications (stat.AP)

[15] arXiv:2406.13197 [pdf, html, other]

Title: Representation Transfer Learning for Semiparametric Regression

Baihua He, Huihang Liu, Xinyu Zhang, Jian Huang

Comments: 42 pages, 11 figures, 5 tables

Subjects: Methodology (stat.ME)

[16] arXiv:2406.13111 [pdf, html, other]

Title: Nonparametric Motion Control in Functional Connectivity Studies in Children with Autism Spectrum Disorder

Jialu Ran, Sarah Shultz, Benjamin B. Risk, David Benkeser

Subjects: Methodology (stat.ME)

[17] arXiv:2406.13052 [pdf, html, other]

Title: Distance Covariance, Independence, and Pairwise Differences

Jakob Raymaekers, Peter J. Rousseeuw

Subjects: Methodology (stat.ME)

[18] arXiv:2406.14380 (cross-list from econ.EM) [pdf, html, other]

Title: Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach

Ruohan Zhan, Shichao Han, Yuchen Hu, Zhenling Jiang

Subjects: Econometrics (econ.EM); Machine Learning (cs.LG); Methodology (stat.ME)

[19] arXiv:2406.14163 (cross-list from cs.DB) [pdf, html, other]

Title: A Unified Statistical And Computational Framework For Ex-Post Harmonisation Of Aggregate Statistics

Cynthia A. Huang

Subjects: Databases (cs.DB); Methodology (stat.ME)

[20] arXiv:2406.14003 (cross-list from stat.ML) [pdf, html, other]

Title: Deep Optimal Experimental Design for Parameter Estimation Problems

Md Shahriar Rahim Siddiqui, Arman Rahmim, Eldad Haber

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

[21] arXiv:2406.13966 (cross-list from cs.LG) [pdf, html, other]

Title: Causal Inference with Latent Variables: Recent Advances and Future Prospectives

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li

Comments: Accepted by KDD'24 Survey Track

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

[22] arXiv:2406.13944 (cross-list from math.ST) [pdf, html, other]

Title: Generalization error of min-norm interpolators in transfer learning

Yanke Song, Sohom Bhattacharya, Pragya Sur

Comments: 53 pages, 2 figures

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

[23] arXiv:2406.13826 (cross-list from econ.EM) [pdf, html, other]

Title: Testing identification in mediation and dynamic treatment models

Martin Huber, Kevin Kloiber, Lukas Laffers

Comments: 49 pages, 4 figures

Subjects: Econometrics (econ.EM); Methodology (stat.ME)

[24] arXiv:2406.13814 (cross-list from stat.AP) [pdf, html, other]

Title: Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches

Dandan Tang, Xin Tong

Comments: 47 pages, 3 tables, 8 figures

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

[25] arXiv:2406.12908 (cross-list from cs.LG) [pdf, html, other]

Title: Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens

Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta

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