Stat-Me
Approximate Bayesian Computation with Statistical Distances for Model Selection
Inferring Microscopic Explanatory Structures from Observational Constraints via Large Deviations
Joint survival annuity derivative valuation in the linear-rational Wishart mortality model
E-values for Adaptive Clinical Trials: Anytime-Valid Monitoring in Practice
Social Interactions Models with Latent Structures
Hypothesis tests and model parameter estimation on data sets with missing correlation information
Efficient Online Variational Estimation via Monte Carlo Sampling
Deep Generative Modeling with Spatial and Network Images: An Explainable AI (XAI) Approach
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
A Kolmogorov-Arnold Neural Model for Cascading Extremes
Modeling the Hazard Function with Non-linear Systems in Dynamical Survival Analysis
Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models
A prediction interval for the population-wise error rate
Assessment of evidence against homogeneity in exhaustive subgroup treatment effect plots
Alignment and matching tests for high-dimensional tensor signals via tensor contraction
Latent variation in pathogen strain-specific effects under multiple-versions-of-treatment theory
Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
Bayesian random-effects meta-analysis of aggregate data on clinical events
Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings Framework
Event-driven type design for clinical trials with recurrent events
