Statistics

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

See today's new changes

Fri, 21 Jun 2024 (showing first 25 of 71 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:2406.14451 [pdf, html, other]

Title: Gradient Estimation via Differentiable Metropolis-Hastings

Gaurav Arya, Moritz Schauer, Ruben Seyer

Comments: 27 pages, 3 figures

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

[4] arXiv:2406.14426 [pdf, html, other]

Title: Transferable Boltzmann Generators

Leon Klein, Frank Noé

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph)

[5] arXiv:2406.14302 [pdf, other]

Title: Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning

Patrik Reizinger, Siyuan Guo, Ferenc Huszár, Bernhard Schölkopf, Wieland Brendel

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

[6] arXiv:2406.14292 [pdf, html, other]

Title: Proximal Interacting Particle Langevin Algorithms

Paula Cordero Encinar, Francesca R. Crucinio, O. Deniz Akyildiz

Comments: 50 pages

Subjects: Computation (stat.CO); Optimization and Control (math.OC); Machine Learning (stat.ML)

[7] arXiv:2406.14269 [pdf, html, other]

Title: Concentration of a sparse Bayesian model with Horseshoe prior in estimating high-dimensional precision matrix

The Tien Mai

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

[8] 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)

[9] 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)

[10] arXiv:2406.14159 [pdf, html, other]

Title: Enhancing multivariate post-processed visibility predictions utilizing CAMS forecasts

Mária Lakatos, Sándor Baran

Comments: 23 pages, 10 figures

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

[11] arXiv:2406.14145 [pdf, html, other]

Title: Temperature in the Iberian Peninsula: Trend, seasonality, and heterogeneity

C. Vladimir Rodríguez-Caballero, Esther Ruiz

Comments: 49 pages, 20 figures

Subjects: Applications (stat.AP); Econometrics (econ.EM)

[12] arXiv:2406.14140 [pdf, html, other]

Title: Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices

Aurélien Bibaut, Nathan Kallus, Apoorva Lal

Subjects: Statistics Theory (math.ST)

[13] arXiv:2406.14071 [pdf, html, other]

Title: Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits

Ziyi Huang, Henry Lam, Haofeng Zhang

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

[14] arXiv:2406.14040 [pdf, html, other]

Title: A Practical Diffusion Path for Sampling

Omar Chehab, Anna Korba

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

[15] arXiv:2406.14033 [pdf, other]

Title: Ensembles of Probabilistic Regression Trees

Alexandre Seiller, Éric Gaussier (APTIKAL), Emilie Devijver (APTIKAL), Marianne Clausel (IECL), Sami Alkhoury

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

[16] arXiv:2406.14009 [pdf, html, other]

Title: Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning

Asaf Ben Arie, Malka Gorfine

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

[17] arXiv:2406.14003 [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)

[18] arXiv:2406.13995 [pdf, html, other]

Title: Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing

Keita Tokuda, Yuichi Katori

Comments: 17 pages, 7 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD)

[19] arXiv:2406.13989 [pdf, html, other]

Title: Random pairing MLE for estimation of item parameters in Rasch model

Yuepeng Yang, Cong Ma

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

[20] arXiv:2406.13944 [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)

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

Title: Coverage of Credible Sets for Regression under Variable Selection

Samhita Pal, Subhashis Ghosal

Subjects: Methodology (stat.ME)

[22] arXiv:2406.13936 [pdf, html, other]

Title: Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods

Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar

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

[23] 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)

[24] 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)

[25] 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)