arXiv Statistics @arxiv_stats@qoto.org

Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models https://arxiv.org/abs/2602.16061 #stat.ML #econ.EM #stat.ME #cs.LG

Quantifying and Attributing Submodel Uncertainty in Stochastic Simulation Models and Digital Twins https://arxiv.org/abs/2602.16099 #stat.CO #stat.ME #stat.ML

Mixture-of-Experts under Finite-Rate Gating: Communication--Generalization Trade-offs https://arxiv.org/abs/2602.15091 #stat.ML #math.IT #cs.IT #cs.LG

Natural direct effects of vaccines and post-vaccination behaviour https://arxiv.org/abs/2602.15095 #stat.ME #stat.AP

Universal priors: solving empirical Bayes via Bayesian inference and pretraining https://arxiv.org/abs/2602.15136 #stat.ML #cs.LG

bayesics: Core Statistical Methods via Bayesian Inference in R https://arxiv.org/abs/2602.15150 #stat.ME #stat.CO

Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data https://arxiv.org/abs/2602.15247 #stat.ME #stat.AP

Structural grouping of extreme value models via graph fused lasso https://arxiv.org/abs/2602.15291 #stat.ME

Bayes Risk for Goodness of Fit Tests https://arxiv.org/abs/2602.15297 #math.ST #stat.TH

Sparse Additive Model Pruning for Order-Based Causal Structure Learning https://arxiv.org/abs/2602.15306 #stat.ML #cs.LG

Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors https://arxiv.org/abs/2602.15319 #stat.ME #stat.AP

Non-Stationary Covariance Functions for Spatial Data on Linear Networks https://arxiv.org/abs/2602.15328 #math.ST #stat.TH

Persistent Entropy as a Detector of Phase Transitions https://arxiv.org/abs/2602.09058 #stat.ML #math.IT #cs.AI #cs.IT #cs.LG

Optimal information deletion and Bayes' theorem https://arxiv.org/abs/2602.09061 #stat.ME #math.IT #math.ST #stat.TH #cs.IT

Estimating causal effects of functional treatments with modified functional treatment policies https://arxiv.org/abs/2602.09145 #stat.ME

Minimum Distance Summaries for Robust Neural Posterior Estimation https://arxiv.org/abs/2602.09161 #stat.ML #cs.LG

Mean regression for (0,1) responses via beta scale mixtures https://arxiv.org/abs/2602.09167 #stat.ME

Quantifying Epistemic Uncertainty in Diffusion Models https://arxiv.org/abs/2602.09170 #stat.ML #cs.AI #cs.LG

Some Bayesian Perspectives on Clinical Trials https://arxiv.org/abs/2602.09208 #stat.ME

Goodness-of-fit testing for nonlinear inverse problems with random observations https://arxiv.org/abs/2602.09219 #math.ST #stat.TH