Bayesian thresholded modeling for integrating brain node and network predictors https://arxiv.org/abs/2407.21154 #stat.ME
Computational methods to simultaneously compare the predictive values of two diagnostic tests with missing data: EM-SEM algorithms and multiple imputation https://arxiv.org/abs/2407.21190 #stat.OT
Analyzing Customer-Facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniques https://arxiv.org/abs/2407.21193 #stat.ML #stat.CO #cs.LG
A Trek Rule for the Lyapunov Equation https://arxiv.org/abs/2407.21223 #math.ST #math.PR #stat.TH
Quantile processes and their applications in finite populations https://arxiv.org/abs/2407.21238 #math.ST #stat.ME #stat.TH
Supervised brain node and network construction under voxel-level functional imaging https://arxiv.org/abs/2407.21242 #stat.AP #stat.CO
An overview of methods for receiver operating characteristic analysis, with an application to SARS-CoV-2 vaccine-induced humoral responses in solid organ transplant recipients https://arxiv.org/abs/2407.21253 #stat.ME
Can expected error costs justify testing a hypothesis at multiple alpha levels rather than searching for an elusive optimal alpha? https://arxiv.org/abs/2407.21303 #stat.AP
Randomized Controlled Trials of Service Interventions: The Impact of Capacity Constraints https://arxiv.org/abs/2407.21322 #stat.ME #math.OC
Comparison of the likelihood ratios of two diagnostic tests subject to a paired design: confidence intervals and sample size https://arxiv.org/abs/2407.21382 #stat.OT
Warped multifidelity Gaussian processes for data fusion of skewed environmental data https://arxiv.org/abs/2407.20295 #stat.AP #stat.CO #stat.ME
Importance Corrected Neural JKO Sampling https://arxiv.org/abs/2407.20444 #stat.ML #math.PR #cs.LG
High dimensional inference for extreme value indices https://arxiv.org/abs/2407.20491 #stat.ME
Laplace approximation for Bayesian variable selection via Le Cam's one-step procedure https://arxiv.org/abs/2407.20580 #stat.ME
An online generalization of the e-BH procedure https://arxiv.org/abs/2407.20683 #stat.ME
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography https://arxiv.org/abs/2407.20697 #stat.ML #cs.LG
Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo https://arxiv.org/abs/2407.20722 #stat.ML #stat.CO #cs.LG
A Local Modal Outer-Product-Gradient Estimator for Dimension Reduction https://arxiv.org/abs/2407.20738 #stat.ME
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