2015  |  Assistant Professor of Statistics
Texas A&M 2015, PhD
CH 201E   |  907-474-5514
sdgoddard@alaska.edu

I have done research involving the application of Bayesian models to research problems in various scientific and engineering disciplines.  I have also done research in Bayesian theory and methods, including hypothesis testing and variable selection.  I am also interested in Bayesian philosophy.

Highlighted works:

Goddard, S. D., Johnson, V. E. (2016). Restricted most powerful Bayesian tests for linear models. Scandinavian Journal of Statistics, 43, 1162-1177. https://doi.org/10.1111/sjos.12235.

Yuhun*, P., Awoleke, O. O., Goddard, S. D. (2021). Using Rate Transient and Bayesian Algorithms for Reservoir Characterization in Hydraulically Fractured Horizontal Gas Wells During Linear Flow. SPE Reservoir Evaluation & Engineering, in press.

Eisaguirre*, J. M., Booms, T. L., Barger, C. P., Goddard, S. D., Breed, G. A. (2021). Multistate Ornstein-Uhlenbeck approach for practical estimation of movement and resource selection around central places. Methods in Ecology and Evolution, 12: 507-519. https://doi.org/10.1111/2041-210X.13538.

            *denotes UAF graduate student