A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence https://arxiv.org/abs/2408.01022 #stat.ML #cs.LG
Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters https://arxiv.org/abs/2408.01298 #stat.AP #stat.CO #stat.ME
Assessing Robustness of Machine Learning Models using Covariate Perturbations https://arxiv.org/abs/2408.01300 #stat.ML #cs.LG
Algorithms for Collaborative Machine Learning under Statistical Heterogeneity https://arxiv.org/abs/2408.00050 #stat.ML #cs.DC #cs.LG
When Audits and Recounts Distract from Election Integrity: The 2020 U.S. Presidential Election in Georgia https://arxiv.org/abs/2408.00055 #stat.AP
A new unit-bimodal distribution based on correlated Birnbaum-Saunders random variables https://arxiv.org/abs/2408.00100 #stat.ME #math.PR
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions https://arxiv.org/abs/2408.00131 #q-fin.RM #stat.ML #cs.AI #cs.LG
Fast variational Bayesian inference for correlated survival data: an application to invasive mechanical ventilation duration analysis https://arxiv.org/abs/2408.00177 #stat.ME
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner https://arxiv.org/abs/2408.00206 #stat.CO #stat.ML
Empirical Bayes Linked Matrix Decomposition https://arxiv.org/abs/2408.00237 #stat.ML #stat.ME #cs.LG
Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models https://arxiv.org/abs/2408.00270 #math.ST #stat.ME #stat.TH
Operator on Operator Regression in Quantum Probability https://arxiv.org/abs/2408.00289 #quant-ph #stat.ME
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
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