A. Murph and C. Storlie (2022+). Bayesian Changepoint Detection for Mixed Data with Missing Values.
Late draft. Poster at ICHI IEEE 10.
A. Murph, J. Hannig, and J. P. Williams (2022+). Generalized Fiducial Inference on Differentiable Manifolds.
Late draft. Poster at BFF7.
Y. Liu, J. Hannig, and A. Murph (2022+). A Differential Geometric Perspective on Generalized Fiducial Inference.
A. Murph, J. Hannig, and J. P. Williams (2021). Introduction to Generalized Fiducial Inference. Accepted to Chapman & Hall Handbook on Bayesian, Frequentist, and Fiducial Inference. Preprint. Code Repository.
A. Murph, A. Flynt, B. R. King (2021). Comparing finite sequences of discrete events with non-uniform time intervals, Sequential Analysis, 40(3), 291-313. Code Repository. CRAN Package. Poster at The Classification Society.
Faden, E., Mitchel, A., Murph, A., Myers, T., and Ryan, N. C. (2021). Mr. Hulot’s Invisible Gorilla, Projections, 15(2), 1-29. Code Repository.