References
- Bozorgzadeh, N., and R. J. Bathurst. 2022. “Hierarchical Bayesian Approaches to Statistical Modelling of Geotechnical Data.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16 (3): 452–469. https://doi.org/10.1080/17499518.2020.1864411
- Casella, G., S. Fienberg, and I. Olkin. 2008. Statistical design (pp. 32611–38545). New York: Springer.
- Chomsky, N. 1992, January 14. “Asking the Right Questions (Speech Audio Recording).” Youtube. https://www.youtube.com/watch?v = 8jE-sm5Z7xQ.
- Gelman, A. 2021. “Reflections on Breiman's Two Cultures of Statistical Modeling.” Observational Studies 7 (1): 95–98. https://doi.org/10.1353/obs.2021.0025
- Lehane, B. M., Z. Liu, E. J. Bittar, F. Nadim, S. Lacasse, N. Bozorgzadeh, … N. Morgan. 2022. “CPT-Based Axial Capacity Design Method for Driven Piles in Clay.” Journal of Geotechnical and Geoenvironmental Engineering 148 (9): 04022069. https://doi.org/10.1061/(ASCE)GT.1943-5606.0002847
- O'Neill, O. 2006. “Transparency and the Ethics of Communication.” In Transparency: The key to Better Governance, edited by C. Hood and D. Heald, 75–90. Oxford, UK: Oxford University Press.
- O’Neill, O. 2013, June. What we don’t Understand about Trust [Video]. TED Conferences. https://www.ted.com/talks/onora_o_neill_what_we_don_t_understand_about_trust/transcript?language = en.
- Oswald, M., J. Grace, S. Urwin, and G. C. Barnes. 2018. “Algorithmic Risk Assessment Policing Models: Lessons from the Durham HART Model and ‘Experimental’ Proportionality.” Information & Communications Technology Law 27 (2): 223–250. https://doi.org/10.1080/13600834.2018.1458455.
- Peck, R. B. 1969. “Advantages and Limitations of the Observational Method in Applied Soil Mechanics.” Geotechnique 19 (2): 171–187.
- Peck, R. B. 2001. “The Observational Method Can be Simple.” Proceedings of the Institution of Civil Engineers - Geotechnical Engineering 149 (2): 71–74. https://doi.org/10.1680/geng.2001.149.2.71.
- Phoon, K. K. 2020. “The Story of Statistics in Geotechnical Engineering.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 14 (1): 3–25. https://doi.org/10.1080/17499518.2019.1700423.
- Phoon, K. K., Z. J. Cao, Z. Liu, and J. Ching. 2023. Report for ISSMGE TC309/TC304/TC222 Third ML Dialogue on “Data-Driven Site Characterization (DDSC)” 3 December 2021, Norwegian Geotechnical Institute, Oslo, Norway (Online).
- Phoon, K. K., and W. Zhang. 2023. “Future of Machine Learning in Geotechnics.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17 (1): 7–22. https://doi.org/10.1080/17499518.2022.2087884.
- Rubin, D. B. 2007. “The Design Versus the Analysis of Observational Studies for Causal Effects: Parallels with the Design of Randomized Trials.” Statistics in Medicine 26 (1): 20–36. https://doi.org/10.1002/sim.2739.
- Spiegelhalter, D. 2020. “Should we Trust Algorithms.” Harvard Data Science Review 2 (1): 1.
- Wilkinson, M. D., M. Dumontier, I. J. Aalbersberg, G. Appleton, M. Axton, A. Baak, … B. Mons. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3 (1): 1–9. https://doi.org/10.1038/sdata.2016.18.
- Zhang, W., X. Gu, L. Tang, Y. Yin, D. Liu, and Y. Zhang. 2022. “Application of Machine Learning, Deep Learning and Optimization Algorithms in Geoengineering and Geoscience: Comprehensive Review and Future Challenge.” Gondwana Research 109: 1–17. https://doi.org/10.1016/j.gr.2022.03.015.