Intrinsic geometry-inspired dependent toroidal distribution: Application to regression model for astigmatism data https://arxiv.org/abs/2409.06229 #stat.AP
Applications of machine learning to predict seasonal precipitation for East Africa https://arxiv.org/abs/2409.06238 #stat.AP #stat.ML
A new paradigm for global sensitivity analysis https://arxiv.org/abs/2409.06271 #stat.ML #stat.ME #cs.LG
On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma https://arxiv.org/abs/2409.06275 #math.ST #stat.TH
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm https://arxiv.org/abs/2409.04500 #stat.ML #stat.ME #cs.LG
Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs) https://arxiv.org/abs/2409.04642 #stat.AP
A Multi-objective Economic Statistical Design of the CUSUM chart: NSGA II Approach https://arxiv.org/abs/2409.04673 #stat.AP
Establishing the Parallels and Differences Between Right-Censored and Missing Covariates https://arxiv.org/abs/2409.04684 #stat.ME #stat.AP
Privacy enhanced collaborative inference in the Cox proportional hazards model for distributed data https://arxiv.org/abs/2409.04716 #stat.AP #math.ST #stat.TH
A Unified Framework for Cluster Methods with Tensor Networks https://arxiv.org/abs/2409.04729 #cond-mat.stat-mech #physics.comp-ph #stat.ME #stat.CO
Spatial Interference Detection in Treatment Effect Model https://arxiv.org/abs/2409.04836 #stat.ME
Moving from Machine Learning to Statistics: the case of Expected Points in American football https://arxiv.org/abs/2409.04889 #stat.AP
Marginal Structural Modeling of Representative Treatment Trajectories https://arxiv.org/abs/2409.04933 #stat.ME
A response-adaptive multi-arm design for continuous endpoints based on a weighted information measure https://arxiv.org/abs/2409.04970 #stat.ME #math.IT #stat.AP #cs.IT
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection https://arxiv.org/abs/2409.03801 #stat.ML #cs.LG
Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects https://arxiv.org/abs/2409.03805 #stat.ME #cs.AI
A tutorial on panel data analysis using partially observed Markov processes via the R package panelPomp https://arxiv.org/abs/2409.03876 #stat.CO #stat.ME
Causal effect of the infield shift in the MLB https://arxiv.org/abs/2409.03940 #stat.AP
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door Criteria https://arxiv.org/abs/2409.03962 #stat.ME #stat.ML #cs.LG
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