Nilotpal Sanyal: Resolution-Adaptive Compact-Support Priors for Bayesian Wavelet Denoising https://arxiv.org/abs/2608.03946 https://arxiv.org/pdf/2608.03946 https://arxiv.org/html/2608.03946

Chase Mathis, Ian Waudby-Smith: Confidence Horizons https://arxiv.org/abs/2608.03889 https://arxiv.org/pdf/2608.03889 https://arxiv.org/html/2608.03889

Kevin S. Kapner, Jeffrey W. Miller: Reduced-rank Generalized Bilinear Models https://arxiv.org/abs/2608.03832 https://arxiv.org/pdf/2608.03832 https://arxiv.org/html/2608.03832

Ziyang Pan, Fan Bu: Multi-Signal Safety Surveillance with Bayesian Latent Factor Modeling and Bias Correction https://arxiv.org/abs/2608.03775 https://arxiv.org/pdf/2608.03775 https://arxiv.org/html/2608.03775

Hung Tong, Antonio Punzo, Cristina Tortora: A New Look at Gaussian Mixtures in the Presence of Missing-at-Random Responses and Covariates https://arxiv.org/abs/2608.03757 https://arxiv.org/pdf/2608.03757 https://arxiv.org/html/2608.03757

Minxing Zheng, Wenbin Zhou, Shixiang Zhu: Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters https://arxiv.org/abs/2608.03607 https://arxiv.org/pdf/2608.03607 https://arxiv.org/html/2608.03607

Keaven M. Anderson, Alison Pedley: Two-Stage Design with Sample Size Re-estimation Using gsDesign https://arxiv.org/abs/2608.03456 https://arxiv.org/pdf/2608.03456 https://arxiv.org/html/2608.03456

Daisuke Murakami: Fast covariance-free spatiotemporal modeling via coarse-to-fine learning https://arxiv.org/abs/2608.03449 https://arxiv.org/pdf/2608.03449 https://arxiv.org/html/2608.03449

Robab Aghazadeh Chakherlou, Siddartha Khastgir, Xingyu Zhao: Reusing Operational Evidence After Context Changes: A Conservative Bayesian Framework for Autonomous Vehicle Safety https://arxiv.org/abs/2608.03384 https://arxiv.org/pdf/2608.03384 https://arxiv.org/html/2608.03384

J. H. Ram\'irez-Gonz\'alez, Erick A. Chac\'on-Montalv\'an, Paula Moraga, Ying Sun: Multidimensional Integral Fractional Ornstein--Uhlenbeck Process with an Application to Animal Movement https://arxiv.org/abs/2608.03381 https://arxiv.org/pdf/2608.03381 https://arxiv.org/html/2608.03381

Naoya Todo (Tokyo Metropolitan University), Naoto Yamashita (Kansai University), Satoshi Usami (The University of Tokyo): Matrix Decomposition Latent Growth Model Tree https://arxiv.org/abs/2608.03377 https://arxiv.org/pdf/2608.03377 https://arxiv.org/html/2608.03377

Chunlei Ge, W. John Braun: Local Quasi-Linear Models: Kernel Differential Equation Regression and Fire Data Analysis https://arxiv.org/abs/2608.03306 https://arxiv.org/pdf/2608.03306 https://arxiv.org/html/2608.03306

Aye Aye Maung, Qi Zheng: Evaluating Treatment Effects using Group Testing with Retesting of Positive Groups https://arxiv.org/abs/2608.03224 https://arxiv.org/pdf/2608.03224 https://arxiv.org/html/2608.03224

Simone Ciardulli, Nicole Fontana, Simone Vantini, Francesca Ieva: Generalized propensity score weighting for functional causal inference framework https://arxiv.org/abs/2608.03200 https://arxiv.org/pdf/2608.03200 https://arxiv.org/html/2608.03200

Naoto Yamashita: A Bures-Wasserstein Formulation of Matrix Decomposition Structural Equation Modeling https://arxiv.org/abs/2608.03183 https://arxiv.org/pdf/2608.03183 https://arxiv.org/html/2608.03183

Hui-Mean Foo, Yuan-chin Ivan Chang: Estimating the Conditional Forecast-Revision Scale in Sequential Models: Local-Smoothing Limits, Matched Models, and Cost--Accuracy Trade-offs https://arxiv.org/abs/2608.03163 https://arxiv.org/pdf/2608.03163 https://arxiv.org/html/2608.03163

Vance Martin, Yoshihiko Nishiyama, John Stachurski, Yiran Xie: A New Approach to Goodness of Fit for Ergodic Markov Processes https://arxiv.org/abs/2608.03088 https://arxiv.org/pdf/2608.03088 https://arxiv.org/html/2608.03088

Ariel Linden: Weighted k-Sample Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling Tests for Assessing Covariate Balance https://arxiv.org/abs/2608.02929 https://arxiv.org/pdf/2608.02929 https://arxiv.org/html/2608.02929

Tyler M. Schmidt, Nathan B. Wikle: Calibrated Bayesian Inference for Stochastic Intervention Effects https://arxiv.org/abs/2608.02924 https://arxiv.org/pdf/2608.02924 https://arxiv.org/html/2608.02924

Jitong Jiang, Skylar Shi, Adrian E. Raftery: Estimating Climate Sensitivity Using Bayesian Model Averaging for CMIP Models https://arxiv.org/abs/2608.02923 https://arxiv.org/pdf/2608.02923 https://arxiv.org/html/2608.02923

Sagnik Nandy, Samriddha Lahiry, Pragya Sur, Subhabrata Sen: DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing https://arxiv.org/abs/2608.02769 https://arxiv.org/pdf/2608.02769 https://arxiv.org/html/2608.02769

Li-Chun Zhang, Tiziana Tuoto: Conformal confidence intervals with an application to small area estimation https://arxiv.org/abs/2608.02766 https://arxiv.org/pdf/2608.02766 https://arxiv.org/html/2608.02766

[2026-08-05 Wed (UTC), 22 new articles found for statME Methodology]

Kisung You: Exact Likelihood and Sampling for Riemannian Gaussian Distributions on Correlation Matrices https://arxiv.org/abs/2608.02593 https://arxiv.org/pdf/2608.02593 https://arxiv.org/html/2608.02593

Lukas Koletzko, Holger Dette, Bj\"orn Bornkamp, Frank Bretz, Zoe Kristin Lange: Testing for subgroup treatment effect consistency in the Cox model https://arxiv.org/abs/2608.02591 https://arxiv.org/pdf/2608.02591 https://arxiv.org/html/2608.02591

Adolphus Wagala, Samur Mehmet, Giovanni Parmigiani: A Joint Bayesian Boolean Matrix Factorization with Application to Chromosomal Copy Number Alterations in Multiple Myeloma https://arxiv.org/abs/2608.02550 https://arxiv.org/pdf/2608.02550 https://arxiv.org/html/2608.02550

Dayeon Lee, Gregory R. Hancock: Do I Even Need a Multilevel Model? Negligible Effect Significance Testing for Intraclass Correlation Coefficients https://arxiv.org/abs/2608.02535 https://arxiv.org/pdf/2608.02535 https://arxiv.org/html/2608.02535

Monia Lupparelli, Arianna Nuti, Giovanni Maria Marchetti, Alessandra Mattei: Regression-based approach for natural direct and indirect relative risk in case of multiple mediators https://arxiv.org/abs/2608.02167 https://arxiv.org/pdf/2608.02167 https://arxiv.org/html/2608.02167

Paul A. Jewsbury: Group-Level Inference with Micro-Assessments https://arxiv.org/abs/2608.02096 https://arxiv.org/pdf/2608.02096 https://arxiv.org/html/2608.02096

Chun Hei Michael Chan, Alexandre Cionca, Dimitri Van De Ville: Graph Signal Surrogate Generation for Statistical Testing of Covariance Structure on Directed Graphs https://arxiv.org/abs/2608.01766 https://arxiv.org/pdf/2608.01766 https://arxiv.org/html/2608.01766