3 papers
stat.ME2026
Besag-Clifford e-values for unnormalized testing
Alexander Dombowsky, Barbara E. Engelhardt, Aaditya Ramdas
Unnormalized probability distributions are frequently used in machine learning for modeling complex data generating processes. Though Markov chain Monte Carlo (MCMC) algorithms can…
stat.ML2025
Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score
Edric Tam, Barbara E Engelhardt
Chest X-ray (CXR) images are among the most commonly used diagnostic imaging modalities in clinical practice. Stringent privacy constraints often limit the public dissemination of…
stat.AP2023
Answering open questions in biology using spatial genomics and structured methods
Siddhartha G Jena, Archit Verma, Barbara E Engelhardt
Genomics methods have uncovered patterns in a range of biological systems, but obscure important aspects of cell behavior: the shape, relative locations of, movement of, and intera…