arXiv Statistics @arxiv_stats@qoto.org

Targeted tuning of random forests for quantile estimation and prediction intervals https://arxiv.org/abs/2507.01430 #stat.ME #stat.AP #stat.ML

Nonparametric learning of heterogeneous graphical model on network-linked data https://arxiv.org/abs/2507.01473 #stat.ME #stat.ML

Root/Additional Metric (RoAM) framework: a guide for goal-centred metric construction https://arxiv.org/abs/2507.01526 #stat.ME

A new algorithm for sampling parameters in a structured correlation matrix with application to estimating optimal combinations of muscles to quantify progression in Duchenne muscular dystrophy https://arxiv.org/abs/2506.21719 #stat.ME

Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time https://arxiv.org/abs/2506.21723 #stat.AP #stat.ME #cs.CY

Monte Carlo and quasi-Monte Carlo integration for likelihood functions https://arxiv.org/abs/2506.21733 #math.ST #stat.ME #stat.ML #stat.TH

Modification of a Numerical Method Using FIR Filters in a Time-dependent SIR Model for COVID-19 https://arxiv.org/abs/2506.21739 #stat.ML #math.OC #cs.LG

Critically-Damped Higher-Order Langevin Dynamics https://arxiv.org/abs/2506.21741 #stat.ML #cs.LG

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics https://arxiv.org/abs/2506.21757 #stat.ML #cs.LG

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations https://arxiv.org/abs/2506.21776 #stat.CO

Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements https://arxiv.org/abs/2506.21777 #stat.ME

Estimating Average Causal Effects with Incomplete Exposure and Confounders https://arxiv.org/abs/2506.21786 #stat.ME

Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction https://arxiv.org/abs/2506.21802 #stat.ML #cs.LG

The final solution of the Hitchhiker's problem #5 https://arxiv.org/abs/2506.20672 #stat.ML #math.OC #math.ST #stat.TH #cs.LG

Proof of The TAP Free Energy for High-Dimensional Linear Regression with Spherical Priors at All Temperatures https://arxiv.org/abs/2506.20768 #math.ST #stat.TH

Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon https://arxiv.org/abs/2506.20779 #stat.ML #cs.LG

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health https://arxiv.org/abs/2506.20860 #stat.ME #stat.AP

Active Learning for Manifold Gaussian Process Regression https://arxiv.org/abs/2506.20928 #stat.ML #cs.LG

Lower Bounds on the Size of Markov Equivalence Classes https://arxiv.org/abs/2506.20933 #stat.ML #math.ST #stat.TH #cs.LG

Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics https://arxiv.org/abs/2506.20935 #stat.ML #stat.AP #stat.CO #cs.LG