Rolled Gaussian process models for curves on manifolds https://arxiv.org/abs/2503.21980 #math.ST #stat.ME #stat.ML #stat.TH
Discussion of "Robust Distance Covariance" by S. Leyder, J. Raymaekers, and P.J. Rousseeuw https://arxiv.org/abs/2503.22021 #stat.ME
Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models https://arxiv.org/abs/2503.20807 #stat.ML #cs.AI #cs.CL #cs.LG
Debiasing Kernel-Based Generative Models https://arxiv.org/abs/2503.20825 #stat.ML
Teachable normal approximations to binomial and related probabilities or confidence bounds https://arxiv.org/abs/2503.20852 #stat.OT #math.PR #math.ST #stat.TH
Assessing Bias and Precision in State Policy Evaluations: A Comparative Analysis of Time-Varying Estimators Using Policy Simulations https://arxiv.org/abs/2503.20882 #stat.ME
Sensitivity analysis for nonignorable missing values in blended analysis framework: a study on the effect of bariatric surgery via electronic health records https://arxiv.org/abs/2503.20935 #stat.ME
A Restricted Latent Class Hidden Markov Model for Polytomous Responses, Polytomous Attributes, and Covariates: Identifiability and Application https://arxiv.org/abs/2503.20940 #stat.ME
Probabilistic Downscaling for Flood Hazard Models https://arxiv.org/abs/2503.20962 #stat.ME #stat.AP
Leveraging External Controls in Clinical Trials: Estimands, Estimation, Assumptions https://arxiv.org/abs/2503.21081 #stat.ME
Integrate Meta-analysis into Specific Study (InMASS) for Estimating Conditional Average Treatment Effect https://arxiv.org/abs/2503.21091 #stat.ME
Investigation of FWER and Power for Methodological Changes Introduced in the BDOTS R Package https://arxiv.org/abs/2503.17495 #stat.AP
The Entropy and Crossentropy of Generalized Mallows Models https://arxiv.org/abs/2503.17521 #math.ST #stat.CO #stat.TH #cs.DS
Covariate Dependent Bayesian Deep Latent Class Model https://arxiv.org/abs/2503.17531 #stat.ME
Modeling of stochastic processes in $L_p(T)$ using orthogonal polynomials https://arxiv.org/abs/2503.17532 #math.ST #stat.TH
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics https://arxiv.org/abs/2503.17538 #stat.ML #math.ST #stat.TH #cs.LG
Principal Component Analysis When n < p: Challenges and Solutions https://arxiv.org/abs/2503.17560 #stat.ME #stat.ML
A Joint Model of Longitudinal CVD Risk Factors, Medication Use, and Time-to-Terminal Events https://arxiv.org/abs/2503.17576 #stat.ME #stat.AP
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