SPP Papers

This post will contain a list of the papers that we plan to read for the SPP reading group

Upcoming Paper

(Pearl 2013)

Read

week 1: (Shmueli 2010)

To Read

(Mayo 2018)

(Suárez 2021)

(Gelman and Shalizi 2013)

(Daoud and Dubhashi 2020)

(Hand 2019)

(Gelman 2018)

(Northcott 2005)

(Cartwright and Hardie 2012)

(Deaton and Cartwright 2018)

(Cartwright 2001)

(Cartwright 2007)

(Cartwright 2009)

(Morley et al. 2019)

(Loi and Plas 2020)

Ian Hacking’s work

AI ethics book Mark Coeckelbergh

Jonty’s work

(Blyth 1970)

(Lindley 1977)

(Gelman and Hennig 2015)

Bibliography

Blyth, Colin R. 1970. “On the Inference and Decision Models of Statistics.” The Annals of Mathematical Statistics 41 (3). Institute of Mathematical Statistics:1034–58. http://www.jstor.org/stable/2239256.

Cartwright, Nancy. 2001. “What Is Wrong with Bayes Nets?” The Monist 84 (2). JSTOR:242–64.

———. 2007. Hunting Causes and Using Them: Approaches in Philosophy and Economics. Cambridge University Press.

———. 2009. “Evidence-Based Policy: What’s to Be Done About Relevance?” Philosophical Studies 143 (1). Springer:127–36.

Cartwright, Nancy, and Jeremy Hardie. 2012. Evidence-Based Policy: A Practical Guide to Doing It Better. Oxford University Press.

Daoud, Adel, and Devdatt Dubhashi. 2020. “Statistical Modeling: The Three Cultures.”

Deaton, Angus, and Nancy Cartwright. 2018. “Understanding and Misunderstanding Randomized Controlled Trials.” Social Science & Medicine 210. Elsevier:2–21.

Gelman, Andrew. 2018. “Ethics in Statistical Practice and Communication: Five Recommendations.” Significance 15 (5):40–43. https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/j.1740-9713.2018.01193.x.

Gelman, Andrew, and Christian Hennig. 2015. “Beyond Subjective and Objective in Statistics.”

Gelman, Andrew, and Cosma Rohilla Shalizi. 2013. “Philosophy and the Practice of Bayesian Statistics.” British Journal of Mathematical and Statistical Psychology 66 (1):8–38. https://bpspsychub.onlinelibrary.wiley.com/doi/abs/10.1111/j.2044-8317.2011.02037.x.

Hand, David. 2019. “What Is the Purpose of Statistical Modelling?” Harvard Data Science Review 1 (1). https://hdsr.mitpress.mit.edu/pub/9qsbf3hz.

Lindley, D. V. 1977. “The Distinction Between Inference and Decision.” Synthese 36 (1). Springer:51–58. http://www.jstor.org/stable/20115213.

Loi, Michele, and Lonneke van der Plas. 2020. “A Blindspot of AI Ethics: Anti-Fragility in Statistical Prediction.”

Mayo, Deborah G. 2018. Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars. Cambridge University Press.

Morley, Jessica, Luciano Floridi, Libby Kinsey, and Anat Elhalal. 2019. “From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices.”

Northcott, Robert. 2005. “Pearson’s Wrong Turning: Against Statistical Measures of Causal Efficacy.” Philosophy of Science 72 (5). [The University of Chicago Press, Philosophy of Science Association]:900–912. https://www.jstor.org/stable/10.1086/508118.

Pearl, Judea. 2013. “Linear Models: A Useful ‘Microscope’ for Causal Analysis.” Journal of Causal Inference 1 (1). Berlin, Boston: De Gruyter:155–70. https://www.degruyter.com/view/journals/jci/1/1/article-p155.xml.

Shmueli, Galit. 2010. “To Explain or to Predict?” Statist. Sci. 25 (3). The Institute of Mathematical Statistics:289–310. https://doi.org/10.1214/10-STS330.

Suárez, Mauricio. 2021. Philosophy of Probability and Statistical Modelling. Elements in the Philosophy of Science. Cambridge University Press.