Sample continuation in Bayesian hierarchical model via variational inference https://arxiv.org/abs/2604.15469 #stat.ME
PRIM-cipal components analysis https://arxiv.org/abs/2604.15538 #stat.ML #cs.LG
Practical Process Capability Indices Workflows https://arxiv.org/abs/2604.15544 #stat.AP #stat.ME
Testing and estimation of the index of stability of univariate and bivariate symmetric $\alpha-$stable distributions via modified Greenwood statistic https://arxiv.org/abs/2604.15696 #stat.ME #math.PR
Markov embedding of ranked unlabelled evolutionary trees and its applications https://arxiv.org/abs/2604.15889 #stat.CO
Decompounding on Compact Symmetric Spaces https://arxiv.org/abs/2604.15980 #math.ST #stat.TH
A Comparison of Joint and Stepwise Dynamic Cognitive Diagnostic Models https://arxiv.org/abs/2604.16031 #stat.ME #stat.AP
Deep Ranking with Heterogeneous Effect https://arxiv.org/abs/2604.16129 #stat.ME
A note on kernel density estimators with optimal bandwidths https://arxiv.org/abs/2604.14181 #math.ST #stat.TH
Cellwise Outliers https://arxiv.org/abs/2604.14182 #stat.ME #stat.ML
A Statistical Market-Design Framework for Academic Job Markets https://arxiv.org/abs/2604.14230 #stat.AP
Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection https://arxiv.org/abs/2604.14305 #q-bio.GN #stat.ME #stat.AP #cs.LG
Doubly Outlier-Robust Online Infinite Hidden Markov Model https://arxiv.org/abs/2604.14322 #stat.ML #cs.LG
PROXIMA: A Reliability Scoring Framework for Proxy Metrics in Online Controlled Experiments https://arxiv.org/abs/2604.14352 #stat.ME #stat.AP #cs.LG
Joint Bayesian Inference of Genetic Effect Sizes and PK Parameters in Nonlinear Mixed-Effects Models https://arxiv.org/abs/2604.14364 #stat.AP
Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance https://arxiv.org/abs/2604.14370 #stat.ME #cs.LG
Early-stopped aggregation: Adaptive inference with computational efficiency https://arxiv.org/abs/2604.14404 #math.ST #stat.ME #stat.ML #stat.TH
Propensity Score Weighting to Ensure Balance in Key Subgroups or Strata: A Practical Guide https://arxiv.org/abs/2604.14407 #stat.ME
$p$-adic Linear Regression for Random Sampling with Digitwise Noise https://arxiv.org/abs/2604.13137 #stat.CO #math.NT #math.ST #stat.TH
Adaptive Learning via Off-Model Training and Importance Sampling for Fully Non-Markovian Optimal Stochastic Control. Complete version https://arxiv.org/abs/2604.13147 #stat.ML #math.PR #cs.LG
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