arXiv Statistics @arxiv_stats@qoto.org

Predictive maintenance solution for industrial systems -- an unsupervised approach based on log periodic power law https://arxiv.org/abs/2408.05231 #physics.data-an #stat.AP #cs.AI

Bootstrap Matching: a robust and efficient correction for non-random A/B test, and its applications https://arxiv.org/abs/2408.05297 #stat.ME #stat.AP

Fast fitting of phylogenetic mixed effects models https://arxiv.org/abs/2408.05333 #stat.CO

Debiased Estimating Equation Method for Versatile and Efficient Mendelian Randomization Using Large Numbers of Correlated Weak and Invalid Instruments https://arxiv.org/abs/2408.05386 #stat.ME

fastkqr: A Fast Algorithm for Kernel Quantile Regression https://arxiv.org/abs/2408.05393 #stat.ML #cs.LG

Testing Elliptical Models in High Dimensions https://arxiv.org/abs/2408.05514 #math.ST #stat.ME #stat.TH

Latent class analysis for multi-layer categorical data https://arxiv.org/abs/2408.05535 #stat.ML #cs.LG

S-SIRUS: an explainability algorithm for spatial regression Random Forest https://arxiv.org/abs/2408.05537 #stat.ML #cs.LG

Addressing Outcome Reporting Bias in Meta-analysis: A Selection Model Perspective https://arxiv.org/abs/2408.05747 #stat.ME #stat.AP

BOP2-TE: Bayesian Optimal Phase 2 Design for Jointly Monitoring Efficacy and Toxicity with Application to Dose Optimization https://arxiv.org/abs/2408.05816 #stat.ME

A Density Ratio Super Learner https://arxiv.org/abs/2408.04796 #stat.ML #cs.LG

A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Prediction https://arxiv.org/abs/2408.04847 #physics.data-an #stat.ML #cs.LG

A propensity score weighting approach to integrate aggregated data in random-effect individual-level data meta-analysis https://arxiv.org/abs/2408.04854 #stat.ME

Network and interaction models for data with hierarchical granularity via fragmentation and coagulation https://arxiv.org/abs/2408.04866 #math.ST #math.PR #stat.TH

Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding https://arxiv.org/abs/2408.04907 #stat.ML #stat.ME #cs.LG

Variance-based sensitivity analysis in the presence of correlated input variables https://arxiv.org/abs/2408.04933 #stat.ME #math.ST #stat.ML #stat.TH #cs.LG

Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions https://arxiv.org/abs/2408.05058 #stat.ML #cs.LG

Functional Sieve Bootstrap for the Partial Sum Process with Application to Change-Point Detection without Dimension Reduction https://arxiv.org/abs/2408.05071 #math.ST #stat.TH

On expected signatures and signature cumulants in semimartingale models https://arxiv.org/abs/2408.05085 #stat.ML #math.PR

Spatial Deconfounding is Reasonable Statistical Practice: Interpretations, Clarifications, and New Benefits https://arxiv.org/abs/2408.05106 #stat.ME