arXiv Statistics @arxiv_stats@qoto.org

A group testing based exploration of age-varying factors in chlamydia infections among Iowa residents https://arxiv.org/abs/2404.01469 #stat.AP #stat.ME

A Multidimensional Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences https://arxiv.org/abs/2404.01478 #stat.AP

Fair MP-BOOST: Fair and Interpretable Minipatch Boosting https://arxiv.org/abs/2404.01521 #stat.ML #cs.LG

Time-Varying Matrix Factor Models https://arxiv.org/abs/2404.01546 #stat.ME

FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality https://arxiv.org/abs/2404.01608 #stat.ML #stat.ME #cs.LG

Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis https://arxiv.org/abs/2404.01688 #stat.ME #stat.CO

Preventing Model Collapse in Gaussian Process Latent Variable Models https://arxiv.org/abs/2404.01697 #stat.ML #cs.LG

Reverse stress testing via multivariate modeling with vine copulas https://arxiv.org/abs/2404.00109 #stat.AP

Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning https://arxiv.org/abs/2404.00145 #stat.ML #cs.LG

Nonparametric Estimation of the Transition Density Function for Diffusion Processes https://arxiv.org/abs/2404.00157 #math.ST #stat.TH

Functional-Edged Network Modeling https://arxiv.org/abs/2404.00218 #stat.ML #cs.LG

Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region https://arxiv.org/abs/2404.00220 #stat.ML #cs.LG

Robust Learning for Optimal Dynamic Treatment Regimes with Observational Data https://arxiv.org/abs/2404.00221 #stat.ME #econ.EM #math.ST #stat.ML #stat.TH

Objective Bayesian FDR https://arxiv.org/abs/2404.00256 #stat.ME

Information divergences and likelihood ratios of Poisson processes and point patterns https://arxiv.org/abs/2404.00294 #math.ST #math.IT #math.PR #stat.TH #cs.IT

Direction Preferring Confidence Intervals https://arxiv.org/abs/2404.00319 #stat.ME #stat.AP

Loss-based prior for tree topologies in BART models https://arxiv.org/abs/2404.00359 #stat.ME #stat.AP

Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation https://arxiv.org/abs/2403.19720 #math.ST #stat.ML #stat.TH #cs.LG

Deep Learning Framework with Uncertainty Quantification for Survey Data: Assessing and Predicting Diabetes Mellitus Risk in the American Population https://arxiv.org/abs/2403.19752 #stat.ME #stat.ML

Nonparametric conditional risk mapping under heteroscedasticity https://arxiv.org/abs/2403.19757 #stat.ME #stat.AP