Mapping climate change awareness through spatial hierarchical clustering https://arxiv.org/abs/2409.13760 #stat.AP
Physics-informed kernel learning https://arxiv.org/abs/2409.13786 #stat.ML #math.ST #stat.TH #cs.LG
Supervised low-rank approximation of high-dimensional multivariate functional data via tensor decomposition https://arxiv.org/abs/2409.13819 #stat.ME
BRcal: An R Package to Boldness-Recalibrate Probability Predictions https://arxiv.org/abs/2409.13858 #stat.ME
Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden https://arxiv.org/abs/2409.13873 #stat.ME #stat.AP
High-dimensional learning of narrow neural networks https://arxiv.org/abs/2409.13904 #cond-mat.dis-nn #stat.ML #cs.LG
Elastic Shape Analysis of Movement Data https://arxiv.org/abs/2409.13938 #stat.AP
Chauhan Weighted Trajectory Analysis of combined efficacy and safety outcomes for risk-benefit analysis https://arxiv.org/abs/2409.13946 #stat.ME
Functional Factor Modeling of Brain Connectivity https://arxiv.org/abs/2409.13963 #stat.ME #stat.AP
Batch Predictive Inference https://arxiv.org/abs/2409.13990 #stat.ME
Properly constrained reference priors decay rates for efficient and robust posterior inference https://arxiv.org/abs/2409.13041 #stat.ME #math.ST #stat.TH
Forecasting Causal Effects of Future Interventions: Confounding and Transportability Issues https://arxiv.org/abs/2409.13060 #stat.ME
Incremental Causal Effect for Time to Treatment Initialization https://arxiv.org/abs/2409.13097 #stat.ME
Non-parametric Replication of Instrumental Variable Estimates Across Studies https://arxiv.org/abs/2409.13140 #stat.ME
Nonparametric Causal Survival Analysis with Clustered Interference https://arxiv.org/abs/2409.13190 #stat.ME
Spatial Sign based Principal Component Analysis for High Dimensional Data https://arxiv.org/abs/2409.13267 #stat.ME
Stochastic mirror descent for nonparametric adaptive importance sampling https://arxiv.org/abs/2409.13272 #math.ST #stat.TH
A Two-stage Inference Procedure for Sample Local Average Treatment Effects in Randomized Experiments https://arxiv.org/abs/2409.13300 #stat.ME #math.ST #stat.TH
Two-level D- and A-optimal main-effects designs with run sizes one and two more than a multiple of four https://arxiv.org/abs/2409.13336 #stat.ME #math.CO
Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data https://arxiv.org/abs/2409.13342 #stat.ML #cs.LG
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