arXiv Statistics @arxiv_stats@qoto.org

Reconstructing and Forecasting Marine Dynamic Variable Fields across Space and Time Globally and Gaplessly https://arxiv.org/abs/2408.01509 #stat.AP

Monotonic warpings for additive and deep Gaussian processes https://arxiv.org/abs/2408.01540 #stat.CO

Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference https://arxiv.org/abs/2408.01582 #stat.ML #stat.ME #cs.AI #cs.LG

Review and Demonstration of a Mixture Representation for Simulation from Densities Involving Sums of Powers https://arxiv.org/abs/2408.01617 #stat.CO #stat.ME

Weighted Brier Score -- an Overall Summary Measure for Risk Prediction Models with Clinical Utility Consideration https://arxiv.org/abs/2408.01626 #stat.ME #stat.AP

On Nonparametric Estimation of Covariograms https://arxiv.org/abs/2408.01628 #stat.ME

Principal component analysis balancing prediction and approximation accuracy for spatial data https://arxiv.org/abs/2408.01662 #stat.ME #stat.CO #stat.ML

Infinite random forests for imbalanced classification tasks https://arxiv.org/abs/2408.01777 #math.ST #stat.TH

Cost-constrained multi-label group feature selection using shadow features https://arxiv.org/abs/2408.01851 #stat.ML #cs.LG

Meta-Posterior Consistency for the Bayesian Inference of Metastable System https://arxiv.org/abs/2408.01868 #stat.ML #math.PR #math.ST #stat.TH #cs.LG

Kairosis: A method for dynamical probability forecast aggregation informed by Bayesian change point detection https://arxiv.org/abs/2408.00785 #stat.AP

Deep Learning Approach for Changepoint Detection: Penalty Parameter Optimization https://arxiv.org/abs/2408.00856 #stat.ML #cs.LG

Gradient-free optimization via integration https://arxiv.org/abs/2408.00888 #stat.CO

Early Stopping Based on Repeated Significance https://arxiv.org/abs/2408.00908 #stat.ME #cs.LG

Aggregation Models with Optimal Weights for Distributed Gaussian Processes https://arxiv.org/abs/2408.00955 #stat.ML #stat.ME #cs.LG

META-ANOVA: Screening interactions for interpretable machine learning https://arxiv.org/abs/2408.00973 #stat.ML #math.ST #stat.TH #cs.LG

A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence https://arxiv.org/abs/2408.01022 #stat.ML #cs.LG

Universality of kernel random matrices and kernel regression in the quadratic regime https://arxiv.org/abs/2408.01062 #stat.ML #math.PR #math.ST #stat.TH #cs.LG

Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters https://arxiv.org/abs/2408.01298 #stat.AP #stat.CO #stat.ME

Assessing Robustness of Machine Learning Models using Covariate Perturbations https://arxiv.org/abs/2408.01300 #stat.ML #cs.LG