References
Balbás, Alejandro, José Garrido, and Silvia Mayoral. 2009.
“Properties of Distortion Risk Measures.” Methodology
and Computing in Applied Probability 11 (3): 385–99. https://doi.org/10.1007/s11009-008-9089-z.
Brown University CS 0300 Course Staff. 2022. “Lab 4:
Caching.” 2022. https://cs.brown.edu/courses/csci0300/2022/assign/labs/lab4.html.
Buscemi, Alessio. 2023. “A Comparative Study of Code Generation
Using ChatGPT 3.5 Across 10 Programming Languages.”
https://arxiv.org/abs/2308.04477.
Center, Netherlands eScience. 2019. “Automatic Differentiation
from Scratch.” 2019. https://blog.esciencecenter.nl/automatic-differentiation-from-scratch-23d50c699555.
Duracz, Jan. 2009. “Derivation of Probability Distributions for
Risk Assessment.” https://www.researchgate.net/publication/239752412_Derivation_of_Probability_Distributions_for_Risk_Assessment.
ENCCS. 2023. “Julia for High-Performance Computing.” 2023.
https://enccs.github.io/julia-for-hpc/.
Hardy, Mary R. 2006. “An Introduction to Risk Measures for
Actuarial Applications.” SOA Syllabus Study Note 19.
Heer, Jeffrey, Michael Bostock, and Vadim Ogievetsky. 2010. “A
Tour Through the Visualization Zoo.” Communications of the
ACM. https://homes.cs.washington.edu/~jheer/files/zoo/.
Julia Documentation. 2024. “Parallel Computing.” 2024. https://docs.julialang.org/en/v1/manual/parallel-computing/.
Leemis, Lawrence M, and Jacquelyn T McQueston. 2008. “Univariate
Distribution Relationships.” The American Statistician
62 (1): 45–53. https://doi.org/10.1198/000313008x270448.
Lewis, N D. 2013. 100 Statistical Tests. Createspace.
MacKay, David J. C. 2003. Information Theory, Inference, and
Learning Algorithms. Cambridge University Press. https://www.inference.org.uk/mackay/itila/.
Matthews, Dylan. 2014. “The Ice Bucket Challenge, and Why We Give
to Charity.” 2014. https://web.archive.org/web/20140823152725/https://www.vox.com/2014/8/20/6040435/als-ice-bucket-challenge-and-why-we-give-to-charity-donate.
Morey, Richard D., Rink Hoekstra, Jeffrey N. Rouder, Michael D. Lee, and
Eric-Jan Wagenmakers. 2016. “The Fallacy of Placing Confidence in
Confidence Intervals.” Psychonomic Bulletin & Review
23 (1): 103–23. https://doi.org/10.3758/s13423-015-0947-8.
Murphy, Hannah, and Cristina Criddle. 2024. “Meta AI Chief Says
Large Language Models Will Not Reach Human Intelligence.” https://www.ft.com/content/23fab126-f1d3-4add-a457-207a25730ad9.
Pearl, Judea. 2009. Causality: Models, Reasoning, and
Inference. 2nd ed. New York: Cambridge University Press.
Rackauckas, Chris. 2020a. “Forward-Mode Automatic Differentiation
(AD) via High Dimensional Algebras.” 2020. https://book.sciml.ai/notes/08-Forward-Mode_Automatic_Differentiation_(AD)_via_High_Dimensional_Algebras/.
———. 2020b. “The Different Flavors of Parallelism.” 2020.
https://book.sciml.ai/notes/06-The_Different_Flavors_of_Parallelism/.
Ryle, Gilbert. 1949. The Concept of Mind. Harmondsworth,
England: Penguin.
Schwarz, C. J. 2016. “A Short Tour of Bad Graphs.” Online.
http://www.stat.sfu.ca/~cschwarz/posters/1999/absenteeism.pdf.
Shen, Judy Hanwen, and Alex Tamkin. 2026. “How AI
Impacts Skill Formation.” https://arxiv.org/abs/2601.20245.
Tufte, Edward. 2001. The Visual Display of Quantitative
Information. 2nd ed. Graphics Press.
Wang, Shaun S. 2002. “A Universal Framework for Pricing Financial
and Insurance Risks.” ASTIN Bulletin 32 (2): 213–34. https://doi.org/10.2143/AST.32.2.1027.