Research
Publications
Benchmark data repositories for better benchmarking
Rachel Longjohn*, Markelle Kelly*, and Padhraic Smyth.
NeurIPS Datasets and Benchmarks, 2024.
Likelihood ratios for changepoints in categorical count data with applications in digital forensics
Rachel Longjohn and Padhraic Smyth.
Journal of Forensic Sciences, 2024.
PDF
Likelihood ratios for categorical count data with applications in digital forensics
Rachel Longjohn, Padhraic Smyth, and Hal S. Stern
Law, Probability, and Risk, 2022.
PDF
Conference Presentations
Statistical uncertainty quantification for aggregate task-performance metrics in ML benchmarks
Rachel Longjohn*, Giri Gopalan*, and Emily Casleton
NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models, 2024.
PDF
Statistical approaches for testing and evaluating foundation models
Giri Gopalan, Emily Casleton, Olivier Binette, and Rachel Longjohn
Fall Technical Conference: Harmonizing Quality, Statistics, and Data Science, 2023.
Abstract
Bayes factors for the existence of changepoints in categorial sequences within digital forensics
Rachel Longjohn and Padhraic Smyth
Joint Statistical Meetings, 2023.
Abstract
A likelihood ratio approach for detecting behavioral changes in device usage over time
Rachel Longjohn and Padhraic Smyth
Annual Meeting of the American Academy of Forensic Sciences, 2023.
Abstract Interactive poster
Likelihood ratios for categorical evidence with applications to digital forensics
Rachel Longjohn and Padhraic Smyth
Joint Statistical Meetings, 2022.
Abstract
Likelihood ratios for categorical evidence with applications in digital evidence
Rachel Longjohn, Padhraic Smyth, and Hal S. Stern
Annual Meeting of the American Academy of Forensic Sciences, 2022.
Abstract
Webinars
Tutorial on Likelihood Ratios with Applications in Digital Forensics
Rachel Longjohn and Padhraic Smyth
Center for Statistics and Applications in Forensic Evidence (CSAFE) Summer Webinar Series, 2022.
Recording