Statistics

Authors and titles for recent submissions

• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024

Thu, 16 May 2024 (showing first 25 of 33 entries)

[1]  arXiv:2405.09541 [pdf, other]

Title: Spectral complexity of deep neural networks

Authors: Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano Vigogna

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR)

[2]  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)

[3]  arXiv:2405.09523 [pdf, ps, other]

Title: On Semi-supervised Estimation of Discrete Distributions under f-divergences

Authors: Hasan Sabri Melihcan Erol, Lizhong Zheng

Comments: Full version. Presented in ISIT-24. arXiv admin note: text overlap with arXiv:2305.07955

Subjects: Statistics Theory (math.ST); Information Theory (cs.IT)

[4]  arXiv:2405.09516 [pdf, other]

Title: Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis

Authors: Daniel Csillag, Claudio José Struchiner, Guilherme Tegoni Goedert

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[5]  arXiv:2405.09511 [pdf, other]

Title: Stability via resampling: statistical problems beyond the real line

Authors: Jake A. Soloff, Rina Foygel Barber, Rebecca Willet

Subjects: Statistics Theory (math.ST)

[6]  arXiv:2405.09510 [pdf, other]

Title: The Instrumental Variable Model with Categorical Instrument, Treatment and Outcome

Authors: Yilin Song, K.C. Gary Chan, Thomas S. Richardson

Subjects: Statistics Theory (math.ST)

[7]  arXiv:2405.09493 [pdf, ps, other]

Title: Constrained Learning for Causal Inference and Semiparametric Statistics

Authors: Tiffany Tianhui Cai, Yuri Fonseca, Kaiwen Hou, Hongseok Namkoong

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[8]  arXiv:2405.09485 [pdf, other]

Title: Predicting Future Change-points in Time Series

Authors: Chak Fung Choi, Chunxue Li, Chun Yip Yau, Zifeng Zhao

Comments: 37 pages, 4 figures

Subjects: Methodology (stat.ME)

[9]  arXiv:2405.09455 [pdf, ps, other]

Title: Efficient pooling designs and screening performance in group testing for two type defectives

Authors: Hiroyasu Matsushima, Yusuke Tajima, Xiao-Nan Lu, Masakazu Jimbo

Subjects: Computation (stat.CO); Information Theory (cs.IT)

[10]  arXiv:2405.09362 [pdf, other]

Title: On the Saturation Effect of Kernel Ridge Regression

Authors: Yicheng Li, Haobo Zhang, Qian Lin

Comments: ICLR 2023; Minor errors are corrected in this version

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[11]  arXiv:2405.09331 [pdf, other]

Title: Multi-Source Conformal Inference Under Distribution Shift

Authors: Yi Liu, Alexander W. Levis, Sharon-Lise Normand, Larry Han

Comments: Accepted to ICML 2024, 39 pages, 13 figures

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

[12]  arXiv:2405.09196 [pdf, ps, other]

Title: Harnessing pattern-by-pattern linear classifiers for prediction with missing data

Authors: Angel D Reyero Lobo, Alexis Ayme (LPSM), Claire Boyer (LPSM), Erwan Scornet (LPSM)

Subjects: Statistics Theory (math.ST)

[13]  arXiv:2405.09167 [pdf, other]

Title: Emperical Study on the Effect of Multi-Sampling in the Prediction Step of the Particle Filter

Authors: G. Kitagawa (The Institute of Statistical Mathmatics and The Graduate University for Advanced Study)

Comments: 15 pages, 5 tables, 10 figures

Subjects: Computation (stat.CO)

[14]  arXiv:2405.09149 [pdf, other]

Title: Exploring uniformity and maximum entropy distribution on torus through intrinsic geometry: Application to protein-chemistry

Authors: Surojit Biswas, Buddhananda Banerjee

Comments: arXiv admin note: text overlap with arXiv:2304.01599

Subjects: Methodology (stat.ME)

[15]  arXiv:2405.09080 [pdf, ps, other]

Title: Causal Inference for a Hidden Treatment

Authors: Ying Zhou, Eric Tchetgen Tchetgen

Subjects: Methodology (stat.ME)

[16]  arXiv:2405.09003 [pdf, other]

Title: Nonparametric Inference on Dose-Response Curves Without the Positivity Condition

Authors: Yikun Zhang, Yen-Chi Chen, Alexander Giessing

Comments: 74 pages (23 pages for the main paper), 4 figures

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

[17]  arXiv:2405.08999 [pdf, other]

Title: Robust Approximate Sampling via Stochastic Gradient Barker Dynamics

Authors: Lorenzo Mauri, Giacomo Zanella

Journal-ref: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS'24, volume 238, 2024, page 2107-2115

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[18]  arXiv:2405.08975 [pdf, other]

Title: A distribution-free valid p-value for finite samples of bounded random variables

Authors: Joaquin Alvarez

Comments: -

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

[19]  arXiv:2405.08912 [pdf, other]

Title: High dimensional test for functional covariates

Authors: Huaqing Jin, Fei Jiang

Comments: 35 pages,4 figures, 4 tables

Subjects: Methodology (stat.ME)

[20]  arXiv:2405.08907 [pdf, other]

Title: Properties of stationary cyclical processes

Authors: Łukasz Lenart

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

[21]  arXiv:2405.08853 [pdf, other]

Title: Evaluating the Uncertainty in Mean Residual Times: Estimators Based on Residence Times from Discrete Time Processes

Authors: Hernán R. Sánchez, Javier Garcia

Subjects: Methodology (stat.ME); Data Analysis, Statistics and Probability (physics.data-an)

[22]  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

Authors: Kelly Charniga (IP), Sang Woo Park, Andrei R Akhmetzhanov (NTU), Anne Cori, Jonathan Dushoff, Sebastian Funk (LSHTM), Katelyn M Gostic (CDC), Natalie M Linton, Adrian Lison, Christopher E Overton (UKHSA), Juliet R C Pulliam (CDC), Thomas Ward (UKHSA), Simon Cauchemez (IP), Sam Abbott (LSHTM)

Subjects: Methodology (stat.ME)

[23]  arXiv:2405.08825 [pdf, other]

Title: Thermodynamic limit in learning period three

Authors: Yuichiro Terasaki, Kohei Nakajima

Comments: 26 pages, 19 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Adaptation and Self-Organizing Systems (nlin.AO); Chaotic Dynamics (nlin.CD)

[24]  arXiv:2405.09500 (cross-list from econ.TH) [pdf, ps, other]

Title: Identifying Heterogeneous Decision Rules From Choices When Menus Are Unobserved

Authors: Larry G Epstein, Kaushil Patel

Subjects: Theoretical Economics (econ.TH); Econometrics (econ.EM); Statistics Theory (math.ST)

[25]  arXiv:2405.09360 (cross-list from cs.LG) [pdf, other]

Title: The Unfairness of $\varepsilon$-Fairness

Authors: Tolulope Fadina, Thorsten Schmidt

Subjects: Machine Learning (cs.LG); Theoretical Economics (econ.TH); Mathematical Finance (q-fin.MF); Machine Learning (stat.ML)

• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024