arXiv Statistics @arxiv_stats@qoto.org

Robust Statistics meets elicitability: When fair model validation breaks down https://arxiv.org/abs/2405.09943 #math.ST #stat.TH

Thermodynamic limit in learning period three https://arxiv.org/abs/2405.08825 #stat.ML #nlin.AO #nlin.CD #cs.LG

Best practices for estimating and reporting epidemiological delay distributions of infectious diseases using public health surveillance and healthcare data https://arxiv.org/abs/2405.08841 #stat.ME

Evaluating the Uncertainty in Mean Residual Times: Estimators Based on Residence Times from Discrete Time Processes https://arxiv.org/abs/2405.08853 #physics.data-an #stat.ME

Properties of stationary cyclical processes https://arxiv.org/abs/2405.08907 #math.ST #stat.ME #stat.TH

High dimensional test for functional covariates https://arxiv.org/abs/2405.08912 #stat.ME

A distribution-free valid p-value for finite samples of bounded random variables https://arxiv.org/abs/2405.08975 #stat.ML #math.ST #stat.TH #cs.LG

Robust Approximate Sampling via Stochastic Gradient Barker Dynamics https://arxiv.org/abs/2405.08999 #stat.ML #cs.LG

Nonparametric Inference on Dose-Response Curves Without the Positivity Condition https://arxiv.org/abs/2405.09003 #stat.ME #math.ST #stat.AP #stat.TH

Causal Inference for a Hidden Treatment https://arxiv.org/abs/2405.09080 #stat.ME

Exploring uniformity and maximum entropy distribution on torus through intrinsic geometry: Application to protein-chemistry https://arxiv.org/abs/2405.09149 #stat.ME

Parameter identifiability, parameter estimation and model prediction for differential equation models https://arxiv.org/abs/2405.08177 #stat.ME

An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables https://arxiv.org/abs/2405.08180 #stat.ME

Linear Operator Approximate Message Passing (OpAMP) https://arxiv.org/abs/2405.08225 #math.ST #math.IT #math.PR #stat.TH #cs.IT

Additive-Effect Assisted Learning https://arxiv.org/abs/2405.08235 #stat.ML #cs.LG

Thompson Sampling for Infinite-Horizon Discounted Decision Processes https://arxiv.org/abs/2405.08253 #stat.ML #math.OC #cs.LG

Scalable Subsampling Inference for Deep Neural Networks https://arxiv.org/abs/2405.08276 #stat.ML #stat.CO #cs.LG

MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers https://arxiv.org/abs/2405.08290 #stat.CO #stat.ME

Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift https://arxiv.org/abs/2405.08307 #stat.ME #math.NA #stat.OT #cs.NA

Parameter estimation and long-range dependence of the fractional binomial process https://arxiv.org/abs/2405.08332 #math.ST #stat.TH