arXiv Statistics @arxiv_stats@qoto.org

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

Sparse Bayesian multidimensional scaling(s) https://arxiv.org/abs/2406.15573 #stat.ME #stat.CO

Graphical copula GARCH modeling with dynamic conditional dependence https://arxiv.org/abs/2406.15582 #stat.ME #stat.AP #stat.CO

Nonparametric FBST for Validating Linear Models https://arxiv.org/abs/2406.15608 #stat.ME

The Stochastic Occupation Kernel Method for System Identification https://arxiv.org/abs/2406.15661 #stat.ML #eess.SY #cs.LG #cs.SY

Flat Posterior Does Matter For Bayesian Transfer Learning https://arxiv.org/abs/2406.15664 #stat.ML #cs.LG

Mixture of Directed Graphical Models for Discrete Spatial Random Fields https://arxiv.org/abs/2406.15700 #stat.ME

Bayesian modeling of multi-species labeling errors in ecological studies https://arxiv.org/abs/2406.15844 #stat.ME #stat.AP

Approximate Bayesian Computation sequential Monte Carlo via random forests https://arxiv.org/abs/2406.15865 #stat.CO #math.OC