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Estimation of relative risk, odds ratio and their logarithms with guaranteed accuracy and controlled sample size ratio arxiv.org/abs/2503.04876 .ME .ST .TH

A Partial Linear Estimator for Small Study Regression Discontinuity Designs arxiv.org/abs/2503.04904 .ME

A Nonparametric Bayesian Model to Adjust for Monitoring Bias with an Application to Identifying Environments Stressed by Climate Change arxiv.org/abs/2503.04924 .AP

A Novel Framework for Modeling Quarantinable Disease Transmission arxiv.org/abs/2503.04951 .AP .ME

Boltzmann convolutions and Welford mean-variance layers with an application to time series forecasting and classification arxiv.org/abs/2503.04956 .ML .LG

Collective Reasoning Among LLMs A Framework for Answer Validation Without Ground Truth arxiv.org/abs/2502.20758 .AP .AI .CL

Adding smoothing splines to the SAM model improves stock assessment arxiv.org/abs/2502.20788 .AP

On interpolation problem for multidimensional harmonizable stable sequences with noise observations arxiv.org/abs/2502.15717 .ST .TH

Universality of High-Dimensional Logistic Regression and a Novel CGMT under Block Dependence with Applications to Data Augmentation arxiv.org/abs/2502.15752 .ST .ML .TH

Rashomon perspective for measuring uncertainty in the survival predictive maintenance models arxiv.org/abs/2502.15772 .AP .LG

Resident Turnover and Community Satisfaction in Active Lifestyle Communities arxiv.org/abs/2502.15789 .AP

A non-parametric optimal design algorithm for population pharmacokinetics arxiv.org/abs/2502.15848 -bio.QM .ME .AP .ML .LG

Counting communities in weighted Stochastic Block Models via semidefinite programming arxiv.org/abs/2502.15891 .ST .TH

Improving ex ante accuracy assessment in predicting house price dispersion: evidence from the USA arxiv.org/abs/2502.15905 .ME .AP

Empirical Best Prediction of Poverty Indicators via Nested Error Regression with High Dimensional Parameters arxiv.org/abs/2502.15933 .ME .AP

One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data in sensometrics, using L1 norm methods arxiv.org/abs/2502.15945 .AP

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