arXiv Statistics @arxiv_stats@qoto.org

Hypothesis testing for general network models https://arxiv.org/abs/2408.04213 #stat.ME

Better Locally Private Sparse Estimation Given Multiple Samples Per User https://arxiv.org/abs/2408.04313 #stat.ML #stat.ME #cs.LG

BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard https://arxiv.org/abs/2408.04327 #stat.ME #stat.AP #stat.CO

Advances in Bayesian model selection consistency for high-dimensional generalized linear models https://arxiv.org/abs/2408.04359 #math.ST #stat.TH

A Novel Approximate Bayesian Inference Method for Compartmental Models in Epidemiology using Stan https://arxiv.org/abs/2408.03415 #stat.ME #stat.CO

When does the mean network capture the topology of a sample of networks? https://arxiv.org/abs/2408.03461 #physics.data-an #stat.ML #cs.LG #cs.SI

Identifying treatment response subgroups in observational time-to-event data https://arxiv.org/abs/2408.03463 #stat.ME #cs.AI

Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions https://arxiv.org/abs/2408.03569 #stat.ML #cs.LG

Sensitivity analysis using the Metamodel of Optimal Prognosis https://arxiv.org/abs/2408.03590 #stat.ME #stat.ML #cs.LG

Piecewise Constant Hazard Estimation with the Fused Lasso https://arxiv.org/abs/2408.03602 #stat.ME

Automated Techniques for Efficient Sampling of Piecewise-Deterministic Markov Processes https://arxiv.org/abs/2408.03682 #stat.CO

Bayes-optimal learning of an extensive-width neural network from quadratically many samples https://arxiv.org/abs/2408.03733 #cond-mat.dis-nn #stat.ML #math.IT #math.PR #cs.IT #cs.LG

Parameter estimation for the generalized extreme value distribution: a method that combines bootstrapping and r largest order statistics https://arxiv.org/abs/2408.03738 #stat.ME #stat.AP

Varying coefficients correlated velocity models in complex landscapes with boundaries applied to narwhal responses to noise exposure https://arxiv.org/abs/2408.03741 #stat.AP

Measuring the Impact of New Risk Factors Within Survival Models https://arxiv.org/abs/2408.02770 #stat.ME

Continuous Monitoring via Repeated Significance https://arxiv.org/abs/2408.02821 #stat.ME #cs.LG

Setting the duration of online A/B experiments https://arxiv.org/abs/2408.02830 #stat.ME #cs.LG

Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances https://arxiv.org/abs/2408.02839 #stat.ML #cs.LG

Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration https://arxiv.org/abs/2408.02841 #stat.ML #cs.LG

Gaussian Approximation For Non-stationary Time Series with Optimal Rate and Explicit Construction https://arxiv.org/abs/2408.02913 #math.ST #stat.TH