We gratefully acknowledge support from
the Simons Foundation and member institutions.

Statistics

Authors and titles for recent submissions, skipping first 61

[ total of 211 entries: 1-25 | 12-36 | 37-61 | 62-86 | 87-111 | 112-136 | 137-161 | ... | 187-211 ]
[ showing 25 entries per page: fewer | more | all ]

Wed, 15 May 2024 (continued, showing last 8 of 36 entries)

[62]  arXiv:2405.08421 (cross-list from cond-mat.dis-nn) [pdf, other]
Title: Faster algorithms for the alignment of sparse correlated Erdös-Rényi random graphs
Comments: 31 pages
Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Data Structures and Algorithms (cs.DS); Probability (math.PR); Statistics Theory (math.ST)
[63]  arXiv:2405.08284 (cross-list from econ.EM) [pdf, ps, other]
Title: Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
Comments: 7 pages, 4 figures, 2 tables, conference paper
Subjects: Econometrics (econ.EM); Machine Learning (cs.LG); Applications (stat.AP)
[64]  arXiv:2405.08217 (cross-list from cs.LG) [pdf, other]
Title: Data Valuation with Gradient Similarity
Subjects: Machine Learning (cs.LG); Genomics (q-bio.GN); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[65]  arXiv:2405.08203 (cross-list from physics.soc-ph) [pdf, other]
Title: Community detection in bipartite signed networks is highly dependent on parameter choice
Subjects: Physics and Society (physics.soc-ph); Social and Information Networks (cs.SI); Methodology (stat.ME)
[66]  arXiv:2405.08179 (cross-list from eess.IV) [pdf, other]
Title: Do Bayesian imaging methods report trustworthy probabilities?
Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG); Signal Processing (eess.SP); Applications (stat.AP); Machine Learning (stat.ML)
[67]  arXiv:2405.08033 (cross-list from cs.LG) [pdf, other]
Title: Predicting Ship Responses in Different Seaways using a Generalizable Force Correcting Machine Learning Method
Subjects: Machine Learning (cs.LG); Fluid Dynamics (physics.flu-dyn); Machine Learning (stat.ML)
[68]  arXiv:2405.05393 (cross-list from cs.SI) [pdf, other]
Title: Mutual information and the encoding of contingency tables
Comments: 18 pages, 9 figures
Subjects: Social and Information Networks (cs.SI); Statistical Mechanics (cond-mat.stat-mech); Machine Learning (stat.ML)
[69]  arXiv:nlin/0408039 (cross-list from nlin.AO) [pdf, ps, other]
Title: Stability and Diversity in Collective Adaptation
Comments: 22 pages, 23 figures; updated references, corrected typos, changed content
Subjects: Adaptation and Self-Organizing Systems (nlin.AO); Machine Learning (cs.LG); Dynamical Systems (math.DS); Chaotic Dynamics (nlin.CD); Machine Learning (stat.ML)

Tue, 14 May 2024 (showing first 17 of 72 entries)

[70]  arXiv:2405.07985 [pdf, ps, other]
Title: Improved LARS algorithm for adaptive LASSO in the linear regression model
Comments: 10 pages, 3 figures
Subjects: Methodology (stat.ME)
[71]  arXiv:2405.07979 [pdf, other]
Title: Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[72]  arXiv:2405.07976 [pdf, other]
Title: Localized Adaptive Risk Control
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (cs.LG)
[73]  arXiv:2405.07971 [pdf, other]
Title: Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits
Comments: 7 pages
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)
[74]  arXiv:2405.07958 [pdf, other]
Title: Record-based transmuted unit omega distribution: different methods of estimation and applications
Comments: 26 pages, 14 figures
Subjects: Statistics Theory (math.ST)
[75]  arXiv:2405.07910 [pdf, ps, other]
Title: A Unification of Exchangeability and Continuous Exposure and Confounder Measurement Errors: Probabilistic Exchangeability
Authors: Honghyok Kim
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[76]  arXiv:2405.07879 [pdf, other]
Title: On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction
Subjects: Applications (stat.AP); Machine Learning (cs.LG)
[77]  arXiv:2405.07852 [pdf, other]
Title: Riemannian radial distributions on Riemannian symmetric spaces: Optimal rates of convergence for parameter estimation
Authors: Hengchao Chen
Subjects: Statistics Theory (math.ST); Differential Geometry (math.DG)
[78]  arXiv:2405.07795 [pdf, other]
Title: Improved Bound for Robust Causal Bandits with Linear Models
Comments: 11 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:2310.19794
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[79]  arXiv:2405.07757 [pdf, ps, other]
Title: Minimax rates in variance and covariance changepoint testing
Subjects: Statistics Theory (math.ST)
[80]  arXiv:2405.07732 [pdf, other]
Title: Measuring dependence between a scalar response and a functional covariate
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[81]  arXiv:2405.07722 [pdf, ps, other]
Title: Model Identifiability for Bivariate Failure Time Data with Competing Risk: Non-parametric Cause-specific Hazards and Gamma Frailty
Subjects: Statistics Theory (math.ST)
[82]  arXiv:2405.07677 [pdf, other]
Title: Unveiling low-dimensional patterns induced by convex non-differentiable regularizers
Comments: 30 pages, 5 figures, for associated code, see this https URL
Subjects: Statistics Theory (math.ST)
[83]  arXiv:2405.07631 [pdf, other]
Title: Improving prediction models by incorporating external data with weights based on similarity
Subjects: Methodology (stat.ME); Applications (stat.AP)
[84]  arXiv:2405.07619 [pdf, ps, other]
Title: Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[85]  arXiv:2405.07552 [pdf, other]
Title: Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
Comments: Forty-first International Conference on Machine Learning (ICML 2024)
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[86]  arXiv:2405.07504 [pdf, other]
Title: Hierarchical inference of evidence using posterior samples
Comments: 18 pages, 7 figures, 1 table. Comments welcome
Subjects: Methodology (stat.ME)
[ total of 211 entries: 1-25 | 12-36 | 37-61 | 62-86 | 87-111 | 112-136 | 137-161 | ... | 187-211 ]
[ showing 25 entries per page: fewer | more | all ]

Disable MathJax (What is MathJax?)

Links to: arXiv, form interface, find, stat, new, 2405, contact, help  (Access key information)