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Methodology

Authors and titles for recent submissions, skipping first 50

[ total of 69 entries: 1-10 | ... | 21-30 | 31-40 | 41-50 | 51-60 | 61-69 ]
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Tue, 14 May 2024 (continued, showing last 8 of 25 entries)

[51]  arXiv:2405.06763 [pdf, other]
Title: Post-selection inference for causal effects after causal discovery
Authors: Ting-Hsuan Chang, Zijian Guo, Daniel Malinsky
Subjects: Methodology (stat.ME)
[52]  arXiv:2405.07971 (cross-list from stat.ML) [pdf, other]
Title: Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits
Authors: Reda Chhaibi, Fabrice Gamboa, Christophe Oger, Vinicius Oliveira, Clément Pellegrini, Damien Remot
Comments: 7 pages
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)
[53]  arXiv:2405.07910 (cross-list from math.ST) [pdf, ps, other]
Title: A Unification of Exchangeability and Continuous Exposure and Confounder Measurement Errors: Probabilistic Exchangeability
Authors: Honghyok Kim
Comments: Submitted for peer-reviewed publication
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[54]  arXiv:2405.07836 (cross-list from cs.LG) [pdf, other]
Title: Forecasting with Hyper-Trees
Authors: Alexander März, Kashif Rasul
Comments: Forecasting, Gradient Boosting, Hyper-Networks, LightGBM, Parameter Non-Stationarity, Time Series, XGBoost
Subjects: Machine Learning (cs.LG); Methodology (stat.ME)
[55]  arXiv:2405.07552 (cross-list from stat.ML) [pdf, other]
Title: Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
Authors: Caixing Wang, Ziliang Shen
Comments: Forty-first International Conference on Machine Learning (ICML 2024)
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[56]  arXiv:2405.07359 (cross-list from cs.LG) [pdf, other]
Title: Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
Authors: Antonio Malpica-Morales, Miguel A. Duran-Olivencia, Serafim Kalliadasis
Comments: 26 pages, 7 figures
Journal-ref: Chaos, 34, 043105 (2024)
Subjects: Machine Learning (cs.LG); Dynamical Systems (math.DS); Data Analysis, Statistics and Probability (physics.data-an); Methodology (stat.ME)
[57]  arXiv:2405.07343 (cross-list from eess.SY) [pdf, other]
Title: Graph neural networks for power grid operational risk assessment under evolving grid topology
Authors: Yadong Zhang, Pranav M Karve, Sankaran Mahadevan
Comments: Manuscript submitted to Applied Energy
Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG); Methodology (stat.ME)
[58]  arXiv:2405.07292 (cross-list from econ.EM) [pdf, other]
Title: Kernel Three Pass Regression Filter
Authors: Rajveer Jat, Daanish Padha
Comments: Keywords: Forecasting, High dimension, Approximate factor model, Reproducing Kernel Hilbert space, Three-pass regression filter
Subjects: Econometrics (econ.EM); Statistical Finance (q-fin.ST); Methodology (stat.ME)

Mon, 13 May 2024 (showing first 2 of 11 entries)

[59]  arXiv:2405.06635 [pdf, ps, other]
Title: Multivariate Interval-Valued Models in Frequentist and Bayesian Schemes
Authors: Ali Sadeghkhani, Abdolnasser Sadeghkhani
Subjects: Methodology (stat.ME)
[60]  arXiv:2405.06613 [pdf, other]
Title: Simultaneously detecting spatiotemporal changes with penalized Poisson regression models
Authors: Zerui Zhang, Xin Wang, Xin Zhang, Jing Zhang
Subjects: Methodology (stat.ME)
[ total of 69 entries: 1-10 | ... | 21-30 | 31-40 | 41-50 | 51-60 | 61-69 ]
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