arXiv Statistics @arxiv_stats@qoto.org

Preliminary Estimators of Population Mean using Ranked Set Sampling in the Presence of Measurement Error and Non-Response Error. (arXiv:2311.01470v1 [stat.ME]) http://arxiv.org/abs/2311.01470

Applications of the Theory of Aggregated Markov Processes in Stochastic Learning Theory. (arXiv:2311.01476v1 [stat.ML]) http://arxiv.org/abs/2311.01476

Tests for strict monotonic trend in bio-medical dose-response relationships (respective concentration-response or exposure-response relationships) -- a biostatistical perspective. (arXiv:2311.01480v1 [stat.AP]) http://arxiv.org/abs/2311.01480

Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study. (arXiv:2311.01484v1 [stat.ME]) http://arxiv.org/abs/2311.01484

Subgroup identification using individual participant data from multiple trials on low back pain. (arXiv:2311.01485v1 [stat.ME]) http://arxiv.org/abs/2311.01485

Invariant Causal Imitation Learning for Generalizable Policies. (arXiv:2311.01489v1 [stat.ML]) http://arxiv.org/abs/2311.01489

Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison. (arXiv:2311.01537v1 [stat.ML]) http://arxiv.org/abs/2311.01537

A reluctant additive model framework for interpretable nonlinear individualized treatment rules. (arXiv:2311.01538v1 [stat.ME]) http://arxiv.org/abs/2311.01538

Local Bayesian Dirichlet mixing of imperfect models. (arXiv:2311.01596v1 [stat.ME]) http://arxiv.org/abs/2311.01596

A method for variable selection in a multivariate functional linear regression model. (arXiv:2311.00803v1 [math.ST]) http://arxiv.org/abs/2311.00803

Bayesian inference for generalized linear models via quasi-posteriors. (arXiv:2311.00820v1 [stat.ME]) http://arxiv.org/abs/2311.00820

Effective filtering approach for joint parameter-state estimation in SDEs via Rao-Blackwellization and modularization. (arXiv:2311.00836v1 [math.OC]) http://arxiv.org/abs/2311.00836

Generalizing Nonlinear ICA Beyond Structural Sparsity. (arXiv:2311.00866v1 [cs.LG]) http://arxiv.org/abs/2311.00866

Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models. (arXiv:2311.00871v1 [cs.LG]) http://arxiv.org/abs/2311.00871

Backward Joint Model for Dynamic Prediction using Multivariate Longitudinal and Competing Risk Data. (arXiv:2311.00878v1 [stat.ME]) http://arxiv.org/abs/2311.00878

Controlling the number of significant effects in multiple testing. (arXiv:2311.00885v1 [stat.ME]) http://arxiv.org/abs/2311.00885

Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow. (arXiv:2311.00894v1 [math.ST]) http://arxiv.org/abs/2311.00894

Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures. (arXiv:2311.00902v1 [stat.ML]) http://arxiv.org/abs/2311.00902

Data-Driven Fixed-Point Tuning for Truncated Realized Variations. (arXiv:2311.00905v1 [math.ST]) http://arxiv.org/abs/2311.00905

On the Kolmogorov neural networks. (arXiv:2311.00049v1 [cs.NE]) http://arxiv.org/abs/2311.00049