Practical identifiability and parameter estimation of compartmental epidemiological models https://arxiv.org/abs/2406.17827 #stat.ME
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness https://arxiv.org/abs/2406.17830 #stat.ML #cs.LG
Neutrosophic Birnbaum-Saunders distribution with applications https://arxiv.org/abs/2406.17884 #stat.AP #math.ST #stat.TH
Minimax-robust estimation problems for stationary stochastic sequences https://arxiv.org/abs/2406.17917 #math.ST #stat.TH
Robust integration of external control data in randomized trials https://arxiv.org/abs/2406.17971 #stat.ME
Shrinkage Estimators for Beta Regression Models https://arxiv.org/abs/2406.18047 #stat.ME #stat.AP
Flexible Conformal Highest Predictive Conditional Density Sets https://arxiv.org/abs/2406.18052 #stat.ME #math.ST #stat.TH
Learning for Bandits under Action Erasures https://arxiv.org/abs/2406.18072 #stat.ML #cs.LG
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression https://arxiv.org/abs/2406.18137 #stat.ML #cs.LG
Flexible Tails for Normalizing Flows https://arxiv.org/abs/2406.16971 #stat.ML #cs.LG
Bayesian Deep ICE https://arxiv.org/abs/2406.17058 #stat.ME #cs.LG
A Wiener process perspective on local intrinsic dimension estimation methods https://arxiv.org/abs/2406.17125 #stat.ML #cs.LG
Bayesian temporal biclustering with applications to multi-subject neuroscience studies https://arxiv.org/abs/2406.17131 #stat.ME #stat.AP #cs.LG
Unraveling the Dynamics of SPY Trading Volumes: A Comprehensive Analysis of Daily and Intraday Liquidity Trends https://arxiv.org/abs/2406.17198 #stat.AP
NFL Ghosts: A framework for evaluating defender positioning with conditional density estimation https://arxiv.org/abs/2406.17220 #stat.AP
Greedy equivalence search for nonparametric graphical models https://arxiv.org/abs/2406.17228 #stat.ML #math.ST #stat.TH #cs.LG
Estimation and Inference for CP Tensor Factor Models https://arxiv.org/abs/2406.17278 #stat.ME #econ.EM #math.ST #stat.TH
Scalable Sampling of Truncated Multivariate Normals Using Sequential Nearest-Neighbor Approximation https://arxiv.org/abs/2406.17307 #stat.CO
Model Uncertainty in Latent Gaussian Models with Univariate Link Function https://arxiv.org/abs/2406.17318 #stat.ME
Hidden Variables unseen by Random Forests https://arxiv.org/abs/2406.15500 #stat.ML #cs.LG
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