Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance https://arxiv.org/abs/2407.12996 #stat.ML #cs.LG
Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models https://arxiv.org/abs/2407.13009 #stat.ML #cs.LG
Bayesian Inference and the Principle of Maximum Entropy https://arxiv.org/abs/2407.13029 #stat.ME
Combining Climate Models using Bayesian Regression Trees and Random Paths https://arxiv.org/abs/2407.13169 #stat.ME
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning https://arxiv.org/abs/2407.13189 #stat.ML #cs.LG
Enhanced inference for distributions and quantiles of individual treatment effects in various experiments https://arxiv.org/abs/2407.13261 #stat.ME
A Partially Pooled NSUM Model: Detailed estimation of CSEM trafficking prevalence in Philippine municipalities https://arxiv.org/abs/2407.13267 #stat.AP
Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes https://arxiv.org/abs/2407.13283 #stat.ME #stat.AP
Prediction intervals for overdispersed binomial endpoints and their application to historical control data https://arxiv.org/abs/2407.13296 #stat.AP
Heavy tails and negative correlation in a binomial model for sports matches: applications to curling https://arxiv.org/abs/2406.18601 #stat.AP #math.PR
Multi-level Phenotypic Models of Cardiovascular Disease and Obstructive Sleep Apnea Comorbidities: A Longitudinal Wisconsin Sleep Cohort Study https://arxiv.org/abs/2406.18602 #stat.AP #stat.CO #cs.LG
Confidence interval estimation of mixed oil length with conditional diffusion model https://arxiv.org/abs/2406.18603 #stat.AP #cs.LG
Bayesian Inference for Stochastic Predictions of Non-Gaussian Systems with Applications in Climate Change https://arxiv.org/abs/2406.18606 #physics.ao-ph #stat.AP
Analysis of Full-scale Riser Responses in Field Conditions Based on Gaussian Mixture Model https://arxiv.org/abs/2406.18611 #physics.ao-ph #stat.AP
Optimal spanning tree reconstruction in symbolic regression https://arxiv.org/abs/2406.18612 #stat.ML #cs.LG
Unbiased least squares regression via averaged stochastic gradient descent https://arxiv.org/abs/2406.18623 #stat.ML #stat.ME #cs.LG
Data Sketching and Stacking: A Confluence of Two Strategies for Predictive Inference in Gaussian Process Regressions with High-Dimensional Features https://arxiv.org/abs/2406.18681 #stat.ME
Robust Distributed Learning of Functional Data From Simulators through Data Sketching https://arxiv.org/abs/2406.18751 #stat.AP
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds https://arxiv.org/abs/2406.18806 #stat.ML #cs.LG
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