The role of joint utility and pragmatic reasoning in cooperative communication https://arxiv.org/abs/2504.21224 #stat.AP
Sales predictive analysis for improving supply chain drug sample https://arxiv.org/abs/2504.21256 #stat.AP
Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series https://arxiv.org/abs/2504.21275 #stat.ME #stat.AP
Coreset selection for the Sinkhorn divergence and generic smooth divergences https://arxiv.org/abs/2504.20194 #stat.ML #cs.LG
Flexible extreme thresholds through generalised Bayesian model averaging https://arxiv.org/abs/2504.20216 #stat.ME #stat.AP
Spatio-temporal data fusion of censored threshold exceedances https://arxiv.org/abs/2504.20268 #stat.AP
Identification and estimation of vaccine effectiveness in the test-negative design under equi-confounding https://arxiv.org/abs/2504.20360 #stat.ME
Modeling Dependence in Omics Association Analysis via Structured Co-Expression Networks to Improve Power and Replicability https://arxiv.org/abs/2504.20431 #stat.ME
The Promises of Multiple Experiments: Identifying Joint Distribution of Potential Outcomes https://arxiv.org/abs/2504.20470 #stat.ME
Addressing Data Scarcity in UBEM Validation: Application of Survey Sampling Techniques https://arxiv.org/abs/2504.20531 #stat.AP
Advanced biomarker analysis for early Alzheimer's detection: a 3-class classification approach https://arxiv.org/abs/2504.20577 #stat.ME
Bootstrap Prediction and Confidence Bands for Frequency Response Functions in Posturography https://arxiv.org/abs/2504.20588 #q-bio.NC #stat.AP
Sobolev norm inconsistency of kernel interpolation https://arxiv.org/abs/2504.20617 #stat.ML #cs.LG
Parameter Tuning of the Firefly Algorithm by Three Tuning Methods: Standard Monte Carlo, Quasi-Monte Carlo and Latin Hypercube Sampling Methods https://arxiv.org/abs/2504.18545 #stat.CO #cs.LG #cs.NE
Statistical Inference for Clustering-based Anomaly Detection https://arxiv.org/abs/2504.18633 #stat.ML #cs.LG
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $\sqrt{T}$-Regret https://arxiv.org/abs/2504.18657 #stat.ML #eess.SY #cs.LG #cs.SY
Local Polynomial Lp-norm Regression https://arxiv.org/abs/2504.18695 #stat.ML #stat.OT #cs.LG
A general sample size framework for developing or updating a clinical prediction model https://arxiv.org/abs/2504.18730 #stat.ME
A Simplified Condition For Quantile Regression https://arxiv.org/abs/2504.18769 #math.ST #math.PR #stat.TH
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