Sample size determination for machine learning in medical research https://arxiv.org/abs/2503.05809 #stat.ME #cs.LG
Asymptotic properties of maximum composite likelihood estimators for max-stable Brown-Resnick random fields over a fixed-domain https://arxiv.org/abs/2503.05880 #math.ST #stat.TH
Real-time Bus Travel Time Prediction and Reliability Quantification: A Hybrid Markov Model https://arxiv.org/abs/2503.05907 #stat.AP
Interactive Visualization Framework for Forensic Bullet Comparisons https://arxiv.org/abs/2503.05910 #stat.AP
Evaluating Multilevel Regression and Poststratification with Spatial Priors with a Big Data Behavioural Survey https://arxiv.org/abs/2503.05915 #stat.AP
Model-based bi-clustering using multivariate Poisson-lognormal with general block-diagonal covariance matrix and its applications https://arxiv.org/abs/2503.05961 #stat.ME #stat.AP
Shiny-MAGEC: A Bayesian R Shiny Application for Meta-analysis of Censored Adverse Events https://arxiv.org/abs/2503.05982 #stat.ME #stat.AP
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity https://arxiv.org/abs/2503.06001 #stat.ML #cs.LG
Randomized Quasi-Monte Carlo Features for Kernel Approximation https://arxiv.org/abs/2503.06041 #stat.ME #stat.ML #cs.LG
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature https://arxiv.org/abs/2503.06079 #stat.ML #cs.LG
Bhirkuti's Relative Efficiency (BRE): Examining in Psychometric Simulations https://arxiv.org/abs/2503.04775 #stat.ME #stat.AP #stat.CO
A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD https://arxiv.org/abs/2503.04820 #stat.ML #cs.LG
A characterization of sample adaptivity in UCB data https://arxiv.org/abs/2503.04855 #stat.ML #math.PR #cs.LG
Estimation of relative risk, odds ratio and their logarithms with guaranteed accuracy and controlled sample size ratio https://arxiv.org/abs/2503.04876 #stat.ME #math.ST #stat.TH
A Partial Linear Estimator for Small Study Regression Discontinuity Designs https://arxiv.org/abs/2503.04904 #stat.ME
A Nonparametric Bayesian Model to Adjust for Monitoring Bias with an Application to Identifying Environments Stressed by Climate Change https://arxiv.org/abs/2503.04924 #stat.AP
A Novel Framework for Modeling Quarantinable Disease Transmission https://arxiv.org/abs/2503.04951 #stat.AP #stat.ME
Boltzmann convolutions and Welford mean-variance layers with an application to time series forecasting and classification https://arxiv.org/abs/2503.04956 #stat.ML #cs.LG
Topology-Aware Conformal Prediction for Stream Networks https://arxiv.org/abs/2503.04981 #stat.ML #cs.LG
A Scorecard Model Using Survival Analysis Framework https://arxiv.org/abs/2503.05023 #stat.AP
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