Scott Goddard
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. .
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. .
*denotes ÃÛÌÒÓ°Ïñ graduate student