arXiv Statistics @arxiv_stats@qoto.org

Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models https://arxiv.org/abs/2410.07487 #stat.ME #stat.AP

Sampling Spiked Wishart Eigenvalues https://arxiv.org/abs/2410.05280 #stat.CO #math.ST #stat.TH

Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox https://arxiv.org/abs/2410.05441 #stat.ML #cs.LG

Meta-Dynamical State Space Models for Integrative Neural Data Analysis https://arxiv.org/abs/2410.05454 #q-bio.NC #stat.ML #cs.LG

A New Method for Multinomial Inference using Dempster-Shafer Theory https://arxiv.org/abs/2410.05512 #stat.ME

Functional Extreme-PLS https://arxiv.org/abs/2410.05517 #math.ST #stat.TH

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models https://arxiv.org/abs/2410.05548 #stat.AP #stat.ME #stat.ML

The Power of Adaptivity in Experimental Design https://arxiv.org/abs/2410.05552 #stat.ML #cs.LG

With random regressors, least squares inference is robust to correlated errors with unknown correlation structure https://arxiv.org/abs/2410.05567 #math.ST #stat.ME #stat.TH

Comparing HIV Vaccine Immunogenicity across Trials with Different Populations and Study Designs https://arxiv.org/abs/2410.05594 #stat.ME

SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees https://arxiv.org/abs/2410.05597 #stat.ML #cs.LG

Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences https://arxiv.org/abs/2409.16336 #stat.ML #stat.AP #hep-ph #cs.LG

Spatial extremal modelling: A case study on the interplay between margins and dependence https://arxiv.org/abs/2409.16373 #stat.AP

Towards Representation Learning for Weighting Problems in Design-Based Causal Inference https://arxiv.org/abs/2409.16407 #stat.ML #stat.ME #cs.LG

Robust Mean Squared Prediction Error Estimators of EBLUP of a Small Area Mean Under the Fay-Herriot Model https://arxiv.org/abs/2409.16409 #stat.ME

Statistical tuning of artificial neural network https://arxiv.org/abs/2409.16426 #stat.ML #stat.AP #cs.LG

Aggregating multiple test results to improve medical decision-making https://arxiv.org/abs/2409.16442 #q-bio.QM #stat.AP

Double-Estimation-Friendly Inference for High Dimensional Misspecified Measurement Error Models https://arxiv.org/abs/2409.16463 #stat.ME #math.ST #stat.TH

Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework https://arxiv.org/abs/2409.16534 #stat.AP

Is speckle noise more challenging to mitigate than additive noise? https://arxiv.org/abs/2409.16585 #math.ST #eess.SP #math.IT #stat.TH #cs.IT