arXiv Statistics @arxiv_stats@qoto.org

Closing the Gap: Can Novice Statistics and Data Science Students Collaborate as Effectively as an Expert? https://arxiv.org/abs/2606.02772 #stat.OT

Emulators for Large-scale Computer Experiments with Quantitative and Qualitative Inputs https://arxiv.org/abs/2606.02777 #stat.CO #stat.ME

Identification, Estimation, and Inference for Sequential Causally Ordered Mediation Pathways https://arxiv.org/abs/2606.02833 #stat.ME

Exploring the periodicity of flight patterns https://arxiv.org/abs/2606.00128 #stat.AP

Interpreting FCDNNs via RG on Exponential Family https://arxiv.org/abs/2606.00157 #stat.ML #math.PR #cs.AI #cs.LG

Infinite-Dimensional Spherical Kernel ridge Regression https://arxiv.org/abs/2606.00181 #stat.ME

On Asymptotic Outlier Rejection in Bayesian Mixed Poisson Regression Models Under Extreme Target and Covariate Values https://arxiv.org/abs/2606.00231 #stat.ME

Density Evolution: A Multiscale View of Density Estimation https://arxiv.org/abs/2606.00233 #math.ST #stat.TH

Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach https://arxiv.org/abs/2606.00265 #stat.ML #cs.LG

Is Zero-Shot Super-Resolution Possible in Operator Learning? https://arxiv.org/abs/2606.00296 #stat.ML #math.AP #cs.LG

ERICA: Quantifying Replicability of Cluster Analysis https://arxiv.org/abs/2606.00302 #stat.ML #cs.LG

Cluster Analysis with Resampling for Validation and Exploration (CARVE) https://arxiv.org/abs/2606.00327 #stat.ME #stat.AP #stat.ML #cs.LG

Polar Depth for Potentially Heavy-Tailed Data https://arxiv.org/abs/2606.00343 #math.ST #stat.CO #stat.ML #stat.TH

Multidimensional Item Response Theory under General Latent Distributions https://arxiv.org/abs/2605.30471 #stat.ME #stat.AP

M-estimation with e-statistics https://arxiv.org/abs/2605.30485 #stat.ME #math.ST #stat.TH

Shrinkage-Constrained Functional Calibration for Complex Computer Models https://arxiv.org/abs/2605.30492 #stat.ME #stat.CO

On the Bayesian analysis of a non-identifiable Binomial model https://arxiv.org/abs/2605.30496 #math.ST #stat.TH

Improved Distribution Estimation in $\ell_\infty$ https://arxiv.org/abs/2605.30509 #stat.ML #cs.AI #cs.LG

Benchmark of Likelihood-Free Inference Methods based on Neural and Optimal Transport Approaches https://arxiv.org/abs/2605.30516 #stat.ME #stat.ML

Restricted mean time lost for survival and competing risks data using mets in R https://arxiv.org/abs/2605.30517 #stat.ME #stat.CO