arXiv Statistics @arxiv_stats@qoto.org

Dynamic Vine Copulas: Detecting and Quantifying Time-Varying Higher-Order Interactions https://arxiv.org/abs/2605.03061 #q-bio.QM #stat.ML #stat.ME #cs.LG

Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation https://arxiv.org/abs/2605.03134 #stat.ME #stat.ML

In-Sample Evaluation of Subgroups Identified by Generic Machine Learning https://arxiv.org/abs/2605.03141 #stat.ME

Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes https://arxiv.org/abs/2605.03152 #stat.ME

Structure Learning for Directed Trees with Compositional Nodes https://arxiv.org/abs/2605.03178 #stat.ME

Evaluating the probative value of forensic gait analysis evidence using empirical data https://arxiv.org/abs/2605.03193 #stat.AP

A comparative study of two-sample hypothesis tests in the presence of long-term survivors https://arxiv.org/abs/2605.03198 #stat.ME

Adaptive Norm-Based Regularization for Neural Networks https://arxiv.org/abs/2605.00171 #stat.ML #stat.AP #cs.LG

Using Linked Micromaps to Explore Complex Structures in Official Statistics https://arxiv.org/abs/2605.00175 #stat.AP

SHIFT: Robust Double Machine Learning for Average Dose-Response Functions under Heavy-Tailed Contamination https://arxiv.org/abs/2605.00176 #stat.ML #cs.LG

Modeling Stock Returns and Volatility Using Bivariate Gamma Generalized Laplace Law https://arxiv.org/abs/2605.00196 #q-fin.ST #stat.ME #math.PR #math.ST #stat.TH

A Simple Bivariate Example of Fast Convergence Rates for Maximum Likelihood Estimates https://arxiv.org/abs/2605.00198 #math.ST #stat.TH

Simplicity Above Elegance: Another Look at the Asymptotically Correct Standardization of Snijders https://arxiv.org/abs/2605.00216 #stat.ME

A unified perspective on fine-tuning and sampling with diffusion and flow models https://arxiv.org/abs/2605.00229 #stat.ML #math.OC #cs.LG

$2B$ or Not $2B$: A Tale of Three Algorithms for Streaming: Covariance Estimation after Welford and Chan-Golub-LeVeque https://arxiv.org/abs/2605.00247 #stat.CO #cs.DC #cs.MM

Information-geometric adaptive sampling for graph diffusion https://arxiv.org/abs/2605.00250 #stat.ML #cs.CV #cs.LG

Beyond Independence: on Jointly Normal Priors in Bayesian Inversion https://arxiv.org/abs/2605.00332 #stat.ME #math.NA #cs.NA

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes https://arxiv.org/abs/2604.27394 #stat.ML #cs.LG

SCARFACE: a harmonized spatio-temporal dataset integrating socio-economic, environmental, and agricultural indicators for the Po Valley (Italy), 2011--2024 https://arxiv.org/abs/2604.25940 #stat.AP

Adversarial Robustness of NTK Neural Networks https://arxiv.org/abs/2604.25965 #stat.ML #cs.LG