arXiv Statistics @arxiv_stats@qoto.org

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

How reliable are remote sensing maps calibrated over large areas? A matter of scale? https://arxiv.org/abs/2408.03953 #stat.AP

Testing for a general changepoint in psychometric studies: changes detection and sample size planning https://arxiv.org/abs/2408.04056 #stat.ME #stat.CO

A Framework for Assessing Cumulative Exposure to Extreme Temperatures During Transit Trip https://arxiv.org/abs/2408.04081 #stat.AP #cs.CY

A robust approach for generalized linear models based on maximum Lq-likelihood procedure https://arxiv.org/abs/2408.04176 #stat.ME

Real-time modelling of the SARS-CoV-2 pandemic in England 2020-2023: a challenging data integration https://arxiv.org/abs/2408.04178 #stat.AP

An Upper Confidence Bound Approach to Estimating the Maximum Mean https://arxiv.org/abs/2408.04179 #math.ST #stat.ML #stat.TH #cs.LG