Preprint/Under Submission
Graduate Papers:
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A. Murph and C. Storlie (2022+). Bayesian Change-point Detection for Process Monitoring with Fault Detection. In progress.
Links: Poster at ICHI IEEE 10.
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A. Murph, J. Hannig, and J. P. Williams (2022+). Generalized Fiducial Inference on Differentiable Manifolds. In review.
Links: Manuscript. Code Repository. Poster at BFF7.
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Y. Liu, J. Hannig, and A. Murph (2022+). A Differential Geometric Perspective on Generalized Fiducial Inference. In review.
Links: Manuscript.
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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.
Links: Manuscript. Code Repository.
Undergraduate Papers:
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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.
Links: Code Repository. CRAN Package. Poster at The Classification Society.
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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.
