Bayesian Design for Sampling Anomalous Spatio-Temporal Data https://arxiv.org/abs/2403.10791 #stat.AP
Neural-Kernel Conditional Mean Embeddings https://arxiv.org/abs/2403.10859 #stat.ML #cs.LG
Cubature scheme for spatio-temporal Poisson point processes estimation https://arxiv.org/abs/2403.10878 #stat.ME #stat.CO
Function-space Parameterization of Neural Networks for Sequential Learning https://arxiv.org/abs/2403.10929 #stat.ML #cs.LG
Inference for non-probability samples using the calibration approach for quantiles https://arxiv.org/abs/2403.09726 #stat.ME #stat.AP
Estimating the history of a random recursive tree https://arxiv.org/abs/2403.09755 #stat.ML #cs.LG #cs.SI
Surgery duration prediction using multi-task feature selection https://arxiv.org/abs/2403.09791 #stat.AP
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors https://arxiv.org/abs/2403.09869 #stat.ML #stat.ME #cs.AI #cs.LG
Quantifying Distributional Input Uncertainty via Inflated Kolmogorov-Smirnov Confidence Band https://arxiv.org/abs/2403.09877 #stat.ME #math.ST #stat.TH
Multi-Layer Kernel Machines: Fast and Optimal Nonparametric Regression with Uncertainty Quantification https://arxiv.org/abs/2403.09907 #stat.ME
Identification and estimation of mediational effects of longitudinal modified treatment policies https://arxiv.org/abs/2403.09928 #stat.ME
On the distribution of isometric log-ratio transformations under extra-multinomial count data https://arxiv.org/abs/2403.09956 #stat.ME
Multivariate Gaussian Approximation for Random Forest via Region-based Stabilization https://arxiv.org/abs/2403.09960 #math.ST #stat.ML #stat.TH
Repro Samples Method for High-dimensional Logistic Model https://arxiv.org/abs/2403.09984 #stat.ME
Majority-of-Three: The Simplest Optimal Learner? https://arxiv.org/abs/2403.08831 #stat.ML #math.ST #stat.TH #cs.LG
Moving Towards Automated Interstellar Boundary Explorer Data Selection with LOTUS https://arxiv.org/abs/2403.08891 #astro-ph.GA #astro-ph.IM #astro-ph.SR #stat.AP
Principal stratification with U-statistics under principal ignorability https://arxiv.org/abs/2403.08927 #stat.ME
A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator https://arxiv.org/abs/2403.08938 #stat.ML #math.ST #stat.TH #cs.LG
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders https://arxiv.org/abs/2403.08941 #stat.ML #cs.LG
Designing a Data Science simulation with MERITS: A Primer https://arxiv.org/abs/2403.08971 #stat.CO
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