arXiv Statistics @arxiv_stats@qoto.org

A parameterization of anisotropic Gaussian fields with penalized complexity priors https://arxiv.org/abs/2409.02331 #stat.ME

Optimal sampling for least-squares approximation https://arxiv.org/abs/2409.02342 #stat.ML #math.NA #cs.LG #cs.NA

Conditional logistic individual-level models of spatial infectious disease dynamics https://arxiv.org/abs/2409.02353 #stat.CO

A Principal Square Response Forward Regression Method for Dimension Reduction https://arxiv.org/abs/2409.02372 #stat.ME

CEopt: A MATLAB Package for Non-convex Optimization with the Cross-Entropy Method https://arxiv.org/abs/2409.00013 #stat.CO #math.OC #stat.ME #cs.MS

Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach https://arxiv.org/abs/2409.00220 #stat.ML #cs.LG

Distribution-Based Sub-Population Selection (DSPS): A Method for in-Silico Reproduction of Clinical Trials Outcomes https://arxiv.org/abs/2409.00232 #stat.AP

Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression https://arxiv.org/abs/2409.00291 #stat.ME #stat.AP

Data is missing again -- Reconstruction of power generation data using $k$-Nearest Neighbors and spectral graph theory https://arxiv.org/abs/2409.00300 #stat.AP #stat.ML #cs.LG

Response probability distribution estimation of expensive computer simulators: A Bayesian active learning perspective using Gaussian process regression https://arxiv.org/abs/2409.00407 #stat.CO

A method to convert traditional fingerprint ACE / ACE-V outputs ("identification", "inconclusive", "exclusion") to Bayes factors https://arxiv.org/abs/2409.00451 #stat.AP

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference https://arxiv.org/abs/2409.00453 #stat.ME #stat.AP

Examining the robustness of a model selection procedure in the binary latent block model through a language placement test data set https://arxiv.org/abs/2409.00470 #stat.ME #stat.CO

Adaptive smoothness of function estimation in the three classical problems of the non-parametrical statistic in the three classical problems of the non-parametrical statistic https://arxiv.org/abs/2409.00491 #math.ST #stat.TH

Replica Analysis for Ensemble Techniques in Variable Selection https://arxiv.org/abs/2408.16799 #cond-mat.stat-mech #cond-mat.dis-nn #math.ST #math.IT #stat.TH #cs.IT

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics https://arxiv.org/abs/2408.16862 #stat.ML #cs.LG

Characterization of point-source transient events with a rolling-shutter compressed sensing system https://arxiv.org/abs/2408.16868 #physics.optics #stat.ML #eess.SP #stat.AP #cs.LG

Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing https://arxiv.org/abs/2408.16963 #stat.ME

Non-parametric Monitoring of Spatial Dependence https://arxiv.org/abs/2408.17022 #stat.ME #stat.AP

Model-based clustering for covariance matrices via penalized Wishart mixture models https://arxiv.org/abs/2408.17040 #stat.ME