arXiv Statistics @arxiv_stats@qoto.org

Varying coefficient model for longitudinal data with informative observation times https://arxiv.org/abs/2601.17141 #stat.ME

Optimal Design under Interference, Homophily, and Robustness Trade-offs https://arxiv.org/abs/2601.17145 #stat.ME #math.ST #stat.TH

Falsifying Predictive Algorithm https://arxiv.org/abs/2601.17146 #stat.ME #stat.ML #cs.CY #cs.LG

Evaluating Aggregated Relational Data Models with Simple Diagnostics https://arxiv.org/abs/2601.17153 #stat.ME #stat.AP

Data-Driven Information-Theoretic Causal Bounds under Unmeasured Confounding https://arxiv.org/abs/2601.17160 #stat.ML #stat.ME #cs.AI #cs.LG

Bayesian Inference for Discrete Markov Random Fields Through Coordinate Rescaling https://arxiv.org/abs/2601.17205 #stat.ME

Transfer learning for scalar-on-function regression via control variates https://arxiv.org/abs/2601.17217 #stat.ME #stat.ML

An Empirical Method for Analyzing Count Data https://arxiv.org/abs/2601.17233 #stat.ME #stat.AP

Capturing Cumulative Disease Burden in Chronic Kidney Disease Outcome Trials: Area Under the Curve and Restricted Mean Time in Favor of Treatment Beyond Conventional Time-to-First Analysis https://arxiv.org/abs/2601.17241 #stat.ME

Covariate-assisted Grade of Membership Models via Shared Latent Geometry https://arxiv.org/abs/2601.17265 #stat.ME #stat.ML

Machine learning assisted state prediction of misspecified linear dynamical system via modal reduction https://arxiv.org/abs/2601.05297 #stat.ML #cs.LG

Model-based clustering using a new mixture of circular regressions https://arxiv.org/abs/2601.05345 #stat.ME #stat.CO

A Bayesian Generative Modeling Approach for Arbitrary Conditional Inference https://arxiv.org/abs/2601.05355 #stat.ML #stat.CO #stat.ME #cs.AI #cs.LG

Archetypal cases for questionnaires with nominal multiple choice questions https://arxiv.org/abs/2601.05392 #stat.ME #cs.LG

Uncertainty Analysis of Experimental Parameters for Reducing Warpage in Injection Molding https://arxiv.org/abs/2601.05396 #stat.ME #stat.AP

Representing asymmetric relationships by h-plots. Discovering the archetypal patterns of cross-journal citation relationships https://arxiv.org/abs/2601.05400 #stat.AP #stat.ME

Multi-Group Quadratic Discriminant Analysis via Projection https://arxiv.org/abs/2601.05415 #stat.ME #stat.ML

A brief note on learning problem with global perspectives https://arxiv.org/abs/2601.05441 #stat.ML #math.OC #cs.LG

What Functions Does XGBoost Learn? https://arxiv.org/abs/2601.05444 #math.ST #stat.ML #stat.TH #cs.LG

Minimax Optimal Robust Sparse Regression with Heavy-Tailed Designs: A Gradient-Based Approach https://arxiv.org/abs/2601.05669 #stat.ME