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
Rare Event Analysis via Stochastic Optimal Control https://arxiv.org/abs/2604.13213 #physics.chem-ph #stat.ML #math.OC #cs.LG
Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection https://arxiv.org/abs/2604.13264 #stat.ME #stat.AP
Efficient estimation of cumulative incidence curves via data fusion with surrogates: application to integrated analysis of vaccine trial and immunobridging data https://arxiv.org/abs/2604.13265 #stat.ME #stat.AP
Sequential Change Detection for Multiple Data Streams with Differential Privacy https://arxiv.org/abs/2604.13274 #math.ST #stat.TH #cs.CR
Addressing Confounding by Indication Through (Un)Measured Centre Characteristics in Learn-As-you-GO(LAGO) Trials https://arxiv.org/abs/2604.13276 #stat.ME #math.ST #stat.TH
Newton's Algorithm as a Gradient Flow: A Geometric Framework for Recursive Mixture Estimation https://arxiv.org/abs/2604.13341 #stat.ME
A Machine Learning Framework for Uncertainty-Calibrated Capability Decision under Finite Samples https://arxiv.org/abs/2604.13352 #stat.AP
GPU-Accelerated Sequential Monte Carlo for Bayesian Spectral Analysis https://arxiv.org/abs/2604.03271 #physics.data-an #stat.CO
FunctionalCalibration: an R package for estimation in aggregated functional data model https://arxiv.org/abs/2604.03284 #stat.CO #stat.ME
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