arXiv Statistics @arxiv_stats@qoto.org

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

On the choice of the two tuning parameters for nonparametric estimation of an elliptical distribution generator https://arxiv.org/abs/2408.17087 #math.ST #stat.ME #stat.TH

Stochastic Vector Approximate Message Passing with applications to phase retrieval https://arxiv.org/abs/2408.17102 #stat.CO

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data https://arxiv.org/abs/2408.17153 #stat.ME #stat.CO

A note on promotion time cure models with a new biological consideration https://arxiv.org/abs/2408.17188 #q-bio.GN #q-bio.SC #stat.ME

Granger causal inference for climate change attribution https://arxiv.org/abs/2408.16004 #stat.AP

A Tutorial on Brownian Motion for Biostatisticians https://arxiv.org/abs/2408.16011 #stat.AP #math.PR #math.ST #stat.TH #cs.AI

Inferring the parameters of Taylor's law in ecology https://arxiv.org/abs/2408.16023 #stat.ME #math.ST #stat.TH

Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning https://arxiv.org/abs/2408.16035 #stat.ML #math.PR #cs.LG

Group Difference in Differences can Identify Effect Heterogeneity in Non-Canonical Settings https://arxiv.org/abs/2408.16039 #stat.ME

Generative Bayesian Computation for Maximum Expected Utility https://arxiv.org/abs/2408.16101 #stat.CO #stat.ML

Direct-Assisted Bayesian Unit-level Modeling for Small Area Estimation of Rare Event Prevalence https://arxiv.org/abs/2408.16129 #stat.ME #stat.AP

Statistical comparison of quality attributes_a range-based approach https://arxiv.org/abs/2408.16153 #stat.ME

A More Unified Theory of Transfer Learning https://arxiv.org/abs/2408.16189 #stat.ML #math.ST #stat.TH #cs.AI #cs.LG