Hilbert Diffusion Models for Generating Functional Data with Galerkin-Type Kernel Neural Operators

Deep Symbolic Learning for Histogram-Valued Regression Data

From Binary Pairs to Soft Correspondences in Audio Text Retrieval

Information Matrix Test for Normality of Innovations in Stationary Time Series Models

Exploiting Training Dynamics for Anomaly Detection in Deep Generative Models

An Association Measure for Mixed-Types Variables

Bayesian Sufficient Dimension Reduction via Envelope Models

Hilbertian Additive Regression with General Estimated Variables

Statistical Inference for Latent Space Models of Network Data with Edge Covariates

Non-Asymptotic Gaussian Approximation for Two-Timescale Stochastic Approximation

Causal Mediation Analysis with Partially Observed Mediators

Towards Robust Machine Learning under Imperfect Data

Synergy Evaluation for Drug Combinations: From Classical Concepts to Model-Based Approaches

Bayesian Borrowing in Confirmatory Trials: Priors, Performance, and Implementation in Practice

AI-Powered Digital & Intelligent Platforms in Pharmaceuticals with Key Considerations

Application of Adaptive Phase II/III Seamless Designs for Dose Selection: A Comparative Study of Inferentially and Operationally Seamless Designs