De-Biased Two-Sample U-Statistics With Application To Conditional Distribution Testing https://rss.arxiv.org/abs/2402.00164 #stat.ME
Continuous Treatment Effects with Surrogate Outcomes https://rss.arxiv.org/abs/2402.00168 #stat.ML #stat.ME #cs.LG
An Evaluation of Calibrated and Uncalibrated High-Resolution RGB Data in Time Series Analysis for Coal Spoil Characterisation: A Comparative Study https://rss.arxiv.org/abs/2402.00170 #stat.AP
The Fourier-Malliavin Volatility (FMVol) MATLAB library https://rss.arxiv.org/abs/2402.00172 #stat.CO #econ.EM
A review of regularised estimation methods and cross-validation in spatiotemporal statistics https://rss.arxiv.org/abs/2402.00183 #stat.ME #stat.CO #stat.OT
Anytime-Valid Generalized Universal Inference on Risk Minimizers https://rss.arxiv.org/abs/2402.00202 #stat.ME
Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries https://rss.arxiv.org/abs/2402.00239 #stat.ME
Debiased Multivariable Mendelian Randomization https://rss.arxiv.org/abs/2402.00307 #stat.ME
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
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