arXiv Statistics @arxiv_stats@qoto.org

Representation and De-interleaving of Mixtures of Hidden Markov Processes https://arxiv.org/abs/2406.00416 #stat.ML #eess.SP #cs.LG

Adapting Quantile Mapping to Bias Correct Solar Radiation Data https://arxiv.org/abs/2405.20352 #stat.AP

Fast leave-one-cluster-out cross-validation by clustered Network Information Criteria (NICc) https://arxiv.org/abs/2405.20400 #stat.ME #stat.CO #stat.ML #cs.LG

Differentially Private Boxplots https://arxiv.org/abs/2405.20415 #stat.ME #stat.AP #stat.OT

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches https://arxiv.org/abs/2405.20418 #stat.AP #stat.ME

Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness https://arxiv.org/abs/2405.20447 #stat.ML #cs.CY #cs.LG

Statistical Properties of Robust Satisficing https://arxiv.org/abs/2405.20451 #stat.ML #math.OC #cs.LG

Bayesian Nonparametric Quasi Likelihood https://arxiv.org/abs/2405.20601 #stat.ME #stat.OT

Fixed-budget optimal designs for multi-fidelity computer experiments https://arxiv.org/abs/2405.20644 #stat.ME

Statistical inference for case-control logistic regression via integrating external summary data https://arxiv.org/abs/2405.20655 #stat.ME #stat.ML

Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors https://arxiv.org/abs/2405.20758 #stat.ME

Optimal Multiclass U-Calibration Error and Beyond https://arxiv.org/abs/2405.19374 #stat.ML #cs.LG

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret https://arxiv.org/abs/2405.19380 #stat.ML #eess.SY #cs.LG #cs.SY

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data https://arxiv.org/abs/2405.19463 #stat.ML #econ.EM #math.OC #cs.LG

Online Nonparametric Supervised Learning for Massive Data https://arxiv.org/abs/2405.19486 #stat.ML #cs.LG

Comparison of Point Process Learning and its special case Takacs-Fiksel estimation https://arxiv.org/abs/2405.19523 #stat.ME #math.ST #stat.ML #stat.TH

Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions https://arxiv.org/abs/2405.19539 #stat.ME

Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition https://arxiv.org/abs/2405.19553 #math.ST #math.PR #stat.ML #stat.TH #cs.LG

Factor Augmented Tensor-on-Tensor Neural Networks https://arxiv.org/abs/2405.19610 #stat.ML #stat.ME #cs.LG

Inference in semiparametric formation models for directed networks https://arxiv.org/abs/2405.19637 #stat.ME #math.ST #stat.TH