arXiv Statistics @arxiv_stats@qoto.org

npcure: An R Package for Nonparametric Inference in Mixture Cure Models https://arxiv.org/abs/2401.17346 #stat.ME

Cure models to estimate time until hospitalization due to COVID-19 https://arxiv.org/abs/2401.17347 #stat.ME

Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation https://arxiv.org/abs/2401.17385 #stat.ME #stat.AP

Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression https://arxiv.org/abs/2401.17387 #stat.AP

A review of statistical models used to characterize species-habitat associations with animal movement data https://arxiv.org/abs/2401.17389 #q-bio.PE #q-bio.QM #stat.ME

Estimating the EVSI with Gaussian Approximations and Spline-Based Series Methods https://arxiv.org/abs/2401.17393 #stat.ME

River flow modelling using nonparametric functional data analysis https://arxiv.org/abs/2401.17422 #stat.AP #stat.ME

Modeling of spatial extremes in environmental data science: Time to move away from max-stable processes https://arxiv.org/abs/2401.17430 #stat.ME

Group-Weighted Conformal Prediction https://arxiv.org/abs/2401.17452 #stat.ME

Understanding Electric Vehicle Ownership Using Data Fusion and Spatial Modeling https://arxiv.org/abs/2401.17456 #stat.AP

The Hubbert diffusion process: Estimation via simulated annealing and variable neighborhood search procedures. Application to forecasting peak oil production https://arxiv.org/abs/2401.16447 #stat.ME #math.PR #math.ST #stat.AP #stat.TH

Parallel Affine Transformation Tuning of Markov Chain Monte Carlo https://arxiv.org/abs/2401.16567 #stat.ME #stat.ML

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons https://arxiv.org/abs/2401.16571 #stat.ME #stat.AP #stat.ML

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model https://arxiv.org/abs/2401.16596 #stat.ME #math.ST #stat.ML #stat.TH #cs.CR #cs.SI

Probabilistic Context Neighborhood Model for Lattices https://arxiv.org/abs/2401.16598 #stat.ME

Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems https://arxiv.org/abs/2401.16612 #stat.ML #cs.LG

A constructive approach to selective risk control https://arxiv.org/abs/2401.16651 #stat.ME #math.ST #stat.AP #stat.CO #stat.TH

Rademacher Complexity of Neural ODEs via Chen-Fliess Series https://arxiv.org/abs/2401.16655 #stat.ML #eess.SY #math.OC #cs.LG #cs.SY

A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information https://arxiv.org/abs/2401.16660 #stat.ME

Sharp variance estimator and causal bootstrap in stratified randomized experiments https://arxiv.org/abs/2401.16667 #math.ST #stat.TH