Minimax Optimal Kernel Two-Sample Tests with Random Features https://arxiv.org/abs/2502.20755 #math.ST #stat.ML #stat.TH #cs.LG
Collective Reasoning Among LLMs A Framework for Answer Validation Without Ground Truth https://arxiv.org/abs/2502.20758 #stat.AP #cs.AI #cs.CL
Adding smoothing splines to the SAM model improves stock assessment https://arxiv.org/abs/2502.20788 #stat.AP
On interpolation problem for multidimensional harmonizable stable sequences with noise observations https://arxiv.org/abs/2502.15717 #math.ST #stat.TH
Universality of High-Dimensional Logistic Regression and a Novel CGMT under Block Dependence with Applications to Data Augmentation https://arxiv.org/abs/2502.15752 #math.ST #stat.ML #stat.TH
Rashomon perspective for measuring uncertainty in the survival predictive maintenance models https://arxiv.org/abs/2502.15772 #stat.AP #cs.LG
Resident Turnover and Community Satisfaction in Active Lifestyle Communities https://arxiv.org/abs/2502.15789 #stat.AP
Counting communities in weighted Stochastic Block Models via semidefinite programming https://arxiv.org/abs/2502.15891 #math.ST #stat.TH
Improving ex ante accuracy assessment in predicting house price dispersion: evidence from the USA https://arxiv.org/abs/2502.15905 #stat.ME #stat.AP
Empirical Best Prediction of Poverty Indicators via Nested Error Regression with High Dimensional Parameters https://arxiv.org/abs/2502.15933 #stat.ME #stat.AP
One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data in sensometrics, using L1 norm methods https://arxiv.org/abs/2502.15945 #stat.AP
A frequentist local false discovery rate https://arxiv.org/abs/2502.16005 #math.ST #stat.TH
Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning https://arxiv.org/abs/2502.05319 #stat.ME
Leveraging Order-Theoretic Tournament Graphs for Assessing Internal Consistency in Survey-Based Instruments Across Diverse Scenarios https://arxiv.org/abs/2502.05336 #stat.OT
Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) https://arxiv.org/abs/2502.05363 #stat.ME #stat.AP
An effective estimation of multivariate density functions using extended-beta kernels with Bayesian adaptive bandwidths https://arxiv.org/abs/2502.05366 #math.ST #stat.TH
Overcoming data challenges to measure whole-person health in electronic health records https://arxiv.org/abs/2502.05380 #stat.ME #stat.AP
False Discovery Rate Control via Frequentist-assisted Horseshoe https://arxiv.org/abs/2502.05460 #stat.ME #math.ST #stat.ML #stat.TH
Kernel Smoothing for Bounded Copula Densities https://arxiv.org/abs/2502.05470 #stat.ME #math.ST #stat.TH
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