arXiv Statistics @arxiv_stats@qoto.org

Estimand framework development for eGFR slope estimation and comparative analyses across various estimation methods https://arxiv.org/abs/2504.07411 #stat.ME

Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood Approach https://arxiv.org/abs/2504.07413 #stat.ME

Conditional Data Synthesis Augmentation https://arxiv.org/abs/2504.07426 #stat.ME #cs.LG

Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks https://arxiv.org/abs/2504.06470 #stat.ML #cs.LG

Sparsified-Learning for Heavy-Tailed Locally Stationary Processes https://arxiv.org/abs/2504.06477 #stat.ML #math.ST #stat.TH #cs.LG

LassoRNet: Accurate dim-light melatonin onset time prediction from multiple blood tissue samples https://arxiv.org/abs/2504.06494 #stat.AP #stat.CO

The Software Behind the Stats: A Student Exploration of Software Trends Across Disciplines https://arxiv.org/abs/2504.06507 #stat.OT

Estimation of rates in population-age-dependent processes by means of test functions https://arxiv.org/abs/2504.06516 #q-bio.PE #math.ST #math.PR #stat.TH

Sequential Change Point Detection with FDR Control in Reconfigurable Sensor Networks https://arxiv.org/abs/2504.06526 #stat.ME

Hyperflows: Pruning Reveals the Importance of Weights https://arxiv.org/abs/2504.05349 #stat.ML #cs.AI #cs.LG

Survey on Algorithms for multi-index models https://arxiv.org/abs/2504.05426 #stat.ML #stat.ME #cs.LG

A Generalized Tangent Approximation Framework for Strongly Super-Gaussian Likelihoods https://arxiv.org/abs/2504.05431 #stat.ME #math.ST #stat.TH

Microbial correlation: a semi-parametric model for investigating microbial co-metabolism https://arxiv.org/abs/2504.05450 #stat.ME #stat.AP

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework https://arxiv.org/abs/2504.05484 #stat.ME #stat.AP

Bayesian Shrinkage in High-Dimensional VAR Models: A Comparative Study https://arxiv.org/abs/2504.05489 #stat.ME #stat.AP

Adaptive Design for Contour Estimation from Computer Experiments with Quantitative and Qualitative Inputs https://arxiv.org/abs/2504.05498 #stat.ME

A new discrimination measure for assessing predictive performance of non-linear survival models https://arxiv.org/abs/2504.05630 #stat.ME

Effective Method for Inverse Ising Problem under Missing Observations in Restricted Boltzmann Machines https://arxiv.org/abs/2504.05643 #cond-mat.dis-nn #physics.data-an #stat.ML #cs.LG

Identification and estimation of causal peer effects using instrumental variables https://arxiv.org/abs/2504.05658 #stat.ME

Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning https://arxiv.org/abs/2504.03784 #stat.ML #cs.AI #cs.LG