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Reposted by arXiv stat.ME Methodology

arXiv econ.EM Econometrics @econem-bot.bsky.social · 9h

Matias D. Cattaneo, Michael Jansson, Kenichi Nagasawa: Robust Inference for Convex Pairwise Difference Estimators https://arxiv.org/abs/2510.05991 https://arxiv.org/pdf/2510.05991 https://arxiv.org/html/2510.05991

Reposted by arXiv stat.ME Methodology

arXiv econ.EM Econometrics @econem-bot.bsky.social · 9h

Soonwoo Kwon, Liyang Sun: Estimating Treatment Effects Under Bounded Heterogeneity https://arxiv.org/abs/2510.05454 https://arxiv.org/pdf/2510.05454 https://arxiv.org/html/2510.05454

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Andreas Anastasiou, Ivor Cribben: Tensor time series change-point detection in cryptocurrency network data https://arxiv.org/abs/2510.06211 https://arxiv.org/pdf/2510.06211 https://arxiv.org/html/2510.06211

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Alan R. Pearse, Howard Bondell: Power-divergence copulas: A new class of Archimedean copulas, with an insurance application https://arxiv.org/abs/2510.06177 https://arxiv.org/pdf/2510.06177 https://arxiv.org/html/2510.06177

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Cristian F. Jim\'enez-Var\'on, Marina I. Knight: A GNAR-Based Framework for Spectral Estimation of Network Time Series: Application to Global Bank Network Connectedness https://arxiv.org/abs/2510.06157 https://arxiv.org/pdf/2510.06157 https://arxiv.org/html/2510.06157

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Jieyun Wang, Anna L. Smith: Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques https://arxiv.org/abs/2510.06136 https://arxiv.org/pdf/2510.06136 https://arxiv.org/html/2510.06136

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Farhad de Sousa, Fran\c{c}ois Ribalet, Jacob Bien: Automated Gating for Flow Cytometry Data Using a Kernel-Smoothed EM Algorithm https://arxiv.org/abs/2510.06051 https://arxiv.org/pdf/2510.06051 https://arxiv.org/html/2510.06051

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Amalan Mahendran, Helen Thompson, James M. McGree: A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified https://arxiv.org/abs/2510.05902 https://arxiv.org/pdf/2510.05902 https://arxiv.org/html/2510.05902

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Bo-Yao Lian, Nelson G. Chen: Extension of Wald-Wolfowitz Runs Test for Regression Validity Testing with Repeated Measures of Independent Variable https://arxiv.org/abs/2510.05861 https://arxiv.org/pdf/2510.05861 https://arxiv.org/html/2510.05861

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Anna Nalpantidi, Dimitris Karlis: A Bivariate DAR($1$) model for ordinal time series https://arxiv.org/abs/2510.05680 https://arxiv.org/pdf/2510.05680 https://arxiv.org/html/2510.05680

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Xinrui Ruan, Xinwei Ma, Yingfei Wang, Waverly Wei, Jingshen Wang: Can language models boost the power of randomized experiments without statistical bias? https://arxiv.org/abs/2510.05545 https://arxiv.org/pdf/2510.05545 https://arxiv.org/html/2510.05545

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Xin Wang, Xialu Liu: Sparse-Group Factor Analysis for High-Dimensional Time Series https://arxiv.org/abs/2510.05370 https://arxiv.org/pdf/2510.05370 https://arxiv.org/html/2510.05370

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Abid Hussain, Touqeer Ahmad: A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data https://arxiv.org/abs/2510.05353 https://arxiv.org/pdf/2510.05353 https://arxiv.org/html/2510.05353

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Abdellah Atanane, Abdallah Mkhadri, Karim Oualkacha: An efficient hybrid approach of quantile and expectile regression https://arxiv.org/abs/2510.05268 https://arxiv.org/pdf/2510.05268 https://arxiv.org/html/2510.05268

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

Hajg Jasa, Ronny Bergmann, Christian K\"ummerle, Avanti Athreya, Zachary Lubberts: Procrustes Problems on Random Matrices https://arxiv.org/abs/2510.05182 https://arxiv.org/pdf/2510.05182 https://arxiv.org/html/2510.05182

arXiv stat.ME Methodology @statme-bot.bsky.social · 9h

[2025-10-08 Wed (UTC), 13 new articles found for statME Methodology]

Reposted by arXiv stat.ME Methodology

arXiv stat.ML Machine Learning @statml-bot.bsky.social · 1d

Marcel Wien\"obst, Leonard Henckel, Sebastian Weichwald: Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning https://arxiv.org/abs/2510.04970 https://arxiv.org/pdf/2510.04970 https://arxiv.org/html/2510.04970

Reposted by arXiv stat.ME Methodology

arXiv cs.CL Computation and Language @cscl-bot.bsky.social · 1d

Om Dobariya, Akhil Kumar: Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) https://arxiv.org/abs/2510.04950 https://arxiv.org/pdf/2510.04950 https://arxiv.org/html/2510.04950

Reposted by arXiv stat.ME Methodology

arXiv cs.AI Artificial Intelligence @csai-bot.bsky.social · 1d

Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Sumitra Ganesh, Manuela Veloso: ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering https://arxiv.org/abs/2510.04514 https://arxiv.org/pdf/2510.04514 https://arxiv.org/html/2510.04514

Reposted by arXiv stat.ME Methodology

arXiv stat.ML Machine Learning @statml-bot.bsky.social · 1d

Dan Leonte, Rapha\"el Huser, Almut E. D. Veraart: Simulation-based inference via telescoping ratio estimation for trawl processes https://arxiv.org/abs/2510.04042 https://arxiv.org/pdf/2510.04042 https://arxiv.org/html/2510.04042

Reposted by arXiv stat.ME Methodology

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 1d

Lotspeich, Collins, Wells, Khanna, Rigdon, McGowan: On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records https://arxiv.org/abs/2510.03844 https://arxiv.org/pdf/2510.03844 https://arxiv.org/html/2510.03844

Reposted by arXiv stat.ME Methodology

arXiv stat.ML Machine Learning @statml-bot.bsky.social · 1d

Nikitin Nikita: The analogy theorem in Hoare logic https://arxiv.org/abs/2510.03685 https://arxiv.org/pdf/2510.03685 https://arxiv.org/html/2510.03685

Reposted by arXiv stat.ME Methodology

arXiv stat.CO Computation @statco-bot.bsky.social · 1d

Yujie Chen, Antik Chakraborty, Anindya Bhadra: Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model https://arxiv.org/abs/2510.03587 https://arxiv.org/pdf/2510.03587 https://arxiv.org/html/2510.03587

Reposted by arXiv stat.ME Methodology

arXiv stat.AP Applications @statap-bot.bsky.social · 1d

Nathan Huet, Ilaria Prosdocimi: Robust and efficient estimation for the Generalized Extreme-Value distribution with application to flood frequency analysis in the UK https://arxiv.org/abs/2510.03338 https://arxiv.org/pdf/2510.03338 https://arxiv.org/html/2510.03338

Reposted by arXiv stat.ME Methodology

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 1d

Bharat Sharma, Jitendra Kumar: Variational Autoencoders-based Detection of Extremes in Plant Productivity in an Earth System Model https://arxiv.org/abs/2510.03266 https://arxiv.org/pdf/2510.03266 https://arxiv.org/html/2510.03266