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A new Monte Carlo method for valid prior-free possibilistic statistical inference arxiv.org/abs/2501.10585 .CO .ME

ouladFormat R package: Preparing the Open University Learning Analytics Dataset for analysis arxiv.org/abs/2501.08366 .CO

Detecting Abrupt Changes in Point Processes: Fundamental Limits and Applications arxiv.org/abs/2501.08392 .ST .PR .TH

A Comparative Evaluation of Bayesian Model-Assisted Two-Stage Designs for Phase I/II Clinical Trials arxiv.org/abs/2501.08410 .ME

A Constant Velocity Latent Dynamics Approach for Accelerating Simulation of Stiff Nonlinear Systems arxiv.org/abs/2501.08423 .ML .LG

Convergence guarantees for response prediction for latent structure network time series arxiv.org/abs/2501.08456 .ME

Simultaneous Estimation of Multiple Treatment Effects from Observational Studies arxiv.org/abs/2501.08467 .ME

Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps arxiv.org/abs/2501.08492 .ME .ST .TH

A Theory of Optimistically Universal Online Learnability for General Concept Classes arxiv.org/abs/2501.08551 .ML .LG

Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks arxiv.org/abs/2501.02043 -bio.PE .ML .DS .LG

Transfer Learning for Individualized Treatment Rules: Application to Sepsis Patients Data from eICU-CRD and MIMIC-III Databases arxiv.org/abs/2501.02128 .AP

Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso arxiv.org/abs/2501.02197 .ML .CO .LG

Robust Multi-Dimensional Scaling via Accelerated Alternating Projections arxiv.org/abs/2501.02208 .ML .OC .LG

Efficient estimation of average treatment effects with unmeasured confounding and proxies arxiv.org/abs/2501.02214 .ME .EM

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