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Predicting Dengue Outbreaks: A Dynamic Approach with Variable Length Markov Chains and Exogenous Factors arxiv.org/abs/2410.07374 .ME

Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning arxiv.org/abs/2410.07454 .ME .ST .TH .LG

Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials arxiv.org/abs/2410.07483 .ME

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

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

Meta-Dynamical State Space Models for Integrative Neural Data Analysis arxiv.org/abs/2410.05454 -bio.NC .ML .LG

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

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

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

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

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

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

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

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

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

Aggregating multiple test results to improve medical decision-making arxiv.org/abs/2409.16442 -bio.QM .AP

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