A Fundamental Accuracy--Robustness Trade-off in Regression and Classification https://arxiv.org/abs/2411.05853 #stat.ML #cs.LG
A Pole-Based Approach to Interpret Electromechanical Impedance Measurements in Structural Health Monitoring https://arxiv.org/abs/2411.05871 #stat.AP #math.DS
Sequential Monte Carlo with active subspaces https://arxiv.org/abs/2411.05935 #stat.CO
Joint Spatiotemporal Modeling of Zooplankton and Whale Abundance in a Dynamic Marine Environment https://arxiv.org/abs/2411.06001 #stat.AP
CQUESST: A dynamical stochastic framework for predicting soil-carbon sequestration https://arxiv.org/abs/2411.06073 #stat.AP #stat.CO
Rational Expectations Nonparametric Empirical Bayes https://arxiv.org/abs/2411.06129 #stat.ME
Kernel density estimation with polyspherical data and its applications https://arxiv.org/abs/2411.04166 #stat.ME #math.ST #stat.TH
Using Linked Micromaps for Evidence-Based Policy https://arxiv.org/abs/2411.04211 #stat.AP
Debiasing Synthetic Data Generated by Deep Generative Models https://arxiv.org/abs/2411.04216 #stat.ML #cs.LG
dsld: A Socially Relevant Tool for Teaching Statistics https://arxiv.org/abs/2411.04228 #stat.ME #stat.AP #cs.IR #cs.LG
Detecting State Changes in Functional Neuronal Connectivity using Factorial Switching Linear Dynamical Systems https://arxiv.org/abs/2411.04229 #stat.ME
ION-C: Integration of Overlapping Networks via Constraints https://arxiv.org/abs/2411.04243 #stat.ML #cs.LG
Running Markov Chain Monte Carlo on Modern Hardware and Software https://arxiv.org/abs/2411.04260 #stat.CO
Graph neural networks and non-commuting operators https://arxiv.org/abs/2411.04265 #stat.ML #cs.AI #cs.LG
Mediation analysis of community context effects on heart failure using the survival R2D2 prior https://arxiv.org/abs/2411.04310 #stat.ME
Adaptive signal recovery in sparse nonparametric models https://arxiv.org/abs/2411.04320 #math.ST #stat.TH
Comment on 'Sparse Bayesian Factor Analysis when the Number of Factors is Unknown' by S. Fr\"uhwirth-Schnatter, D. Hosszejni, and H. Freitas Lopes written by Roberto Casarin and Antonio Peruzzi (Ca' Foscari University of Venice) https://arxiv.org/abs/2411.02531 #stat.ME #econ.EM
Estimating journey time for two-point vehicle re-identification survey with limited observable scope using 2-dimensional truncated distributions https://arxiv.org/abs/2411.02539 #stat.AP
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