Objective Bayesian FDR https://arxiv.org/abs/2404.00256 #stat.ME
Direction Preferring Confidence Intervals https://arxiv.org/abs/2404.00319 #stat.ME #stat.AP
Loss-based prior for tree topologies in BART models https://arxiv.org/abs/2404.00359 #stat.ME #stat.AP
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation https://arxiv.org/abs/2403.19720 #math.ST #stat.ML #stat.TH #cs.LG
Deep Learning Framework with Uncertainty Quantification for Survey Data: Assessing and Predicting Diabetes Mellitus Risk in the American Population https://arxiv.org/abs/2403.19752 #stat.ME #stat.ML
Nonparametric conditional risk mapping under heteroscedasticity https://arxiv.org/abs/2403.19757 #stat.ME #stat.AP
Protocols for Observational Studies: Methods and Open Problems https://arxiv.org/abs/2403.19807 #stat.ME
Testing for common structures in high-dimensional factor models https://arxiv.org/abs/2403.19818 #stat.ME #math.ST #stat.TH
Constrained least squares simplicial-simplicial regression https://arxiv.org/abs/2403.19835 #stat.ME
Optimal regimes with limited resources https://arxiv.org/abs/2403.19842 #stat.ME
Doubly robust estimation and inference for a log-concave counterfactual density https://arxiv.org/abs/2403.19917 #stat.ME
A Semiparametric Gaussian Mixture Model for Chest CT-based 3D Blood Vessel Reconstruction https://arxiv.org/abs/2403.19929 #stat.AP
Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification https://arxiv.org/abs/2403.19994 #stat.ME
Estimating parameters of continuous-time multi-chain hidden Markov models for infectious diseases https://arxiv.org/abs/2403.18875 #stat.AP #math.PR
Robust estimations from distribution structures: V. Non-asymptotic https://arxiv.org/abs/2403.18951 #stat.ME #stat.AP #stat.CO #stat.OT
Spatial confounding under infill asymptotics https://arxiv.org/abs/2403.18961 #math.ST #stat.TH
Causal-StoNet: Causal Inference for High-Dimensional Complex Data https://arxiv.org/abs/2403.18994 #stat.ML #cs.LG
Efficient global estimation of conditional-value-at-risk through stochastic kriging and extreme value theory https://arxiv.org/abs/2403.19018 #stat.ME #math.OC
Imputing missing not-at-random longitudinal marker values in time-to-event analysis: fully conditional specification multiple imputation in joint modeling https://arxiv.org/abs/2403.19192 #stat.ME
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