Publications

• Murph, A.C., Strait, J.D., Moran, K.R., Hyman, J.D., & Stauffer, P.H. (2024) Visualisation and Outlier Detection for Probability Density Function Ensembles, Stat, 13(2), e662.
  Links: Manuscript. CRAN Package.
• Liu, Y., Hannig, J., and Murph, A. C. (2023). A Geometric Perspective on Bayesian and Generalized Fiducial Inference. Accepted to Statistical Sciences.
  Links: Manuscript.
• Demuth, G., Storlie, C.B., Schaeferle, G., Wilson, P., Sunyang, F., Murph, A. C. , Ruan, X., Pringnitz, J., and Hongfang, L. (2023). A Joint Longitudinal Model for Ongoing Prediction of Post Surgical Complication Accepted to the Journal of the American Statistical Association.
• Murph, A. C., Hannig, J., and Williams, J. P. (2021). Introduction to Generalized Fiducial Inference. In J. Berger, X. Meng, N. Reid, & M. Xie (Eds.) Handbook of Bayesian, Fiducial, and Frequentist Inference (Ch. 13). Chapman & Hall.
  Links: Manuscript. Code Repository.

• Murph, A. C., Hannig, J., and Williams, J. P. (202x). Generalized Fiducial Inference on Differentiable Manifolds. In review.
  Links: Manuscript. Code Repository. Poster.
• Murph, A. C. Strait, J.D., Moran, K.R., Hyman, J.D., Viswanatha, H.S., and Stauffer, P.H. (202x). Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations In review.
  Links: Manuscript. Code Repository.
• Murph, A.C., Storlie, C.B., Wilson, P.M., Williams, J.P., and Hannig, J. (202x). Bayes Watch: Bayesian Change-point Detection for Process Monitoring with Fault Detection. In review.
  Links: Manuscript. CRAN Package. Poster at ICHI IEEE 10.
• Murph, A.C., Gibson, G.C., VanDervort, L.B., Panda, N., Castro, L.A., Del Valle, S., and Osthus, D.A. (202x) Incorporating Incidence Peak and Time Data for SIR Forecasting Applications. Late Draft.
• Lawrence, E.C., Murph, A.C., Vander Wiel, S, Liu, C, and Zhang, J. (202x) A New Method for Multinomial Inference using Dempster-Shafer Theory. Late Draft
• Hyman, J.D., Boampong, L., Murph, A.C., Navarre-Sitchler, A., Srinivasan, G., Carey, J.W., and Viswanathan, H.S. (202x) Determining the dominant factors for carbon mineralization in three-dimensional fracture networks. Late Draft.
• Strait, J.D., Moran, K.R., Murph, A.C., Hyman, J.D., and Stauffer, P. (202x) Covariate-Informed Multi-Fidelity Bias Correction of Distributions, Late Draft.

• Murph, A. C., Flynt, A., King, B. R. (2021). Comparing finite sequences of discrete events with non-uniform time intervals, Sequential Analysis, 40(3), 291-313.
  Links: Code Repository. CRAN Package. Poster.
• Faden, E., Mitchel, A., Murph, A., Myers, T., and Ryan, N. C. (2021). Mr. Hulot’s Invisible Gorilla, Projections, 15(2), 1-29.
  Links: Code Repository.

• Successfully defended on April 21st, 2023 at UNC Chapel Hill. Advised by Jan Hannig, Jon P. Williams, and Curt Storlie. See: Manuscript and Presentation

Conference Presentations

• Uncertainty Quantification in the Presence of Intrinsic Stochasticity for Multifidelity Discrete Fracture Network Simulations. Given at SIAM Conference on Uncertainty Quantification (2024) in Trieste, Italy. Presentation Slides.
• Bayesian Change Point Detection for Mixed Data ith Missing Values. Given at IEEE International Conference on Healthcare Informatics 10 (2022) in Rochester, MN. Poster.
• Generalized Fiducial Inference on Riemannian Manifolds. Given at Bayesian, Fiducial, & Frequentist 7 (2022) in Toronto, Canada. Poster.
• Comparing Finite Sequences of Discrete Events with Non-uniform Time Intervals. Given at The Classification Society Annual Meeting (2021) in Lewisburg, PA. Poster.