Bibliography

HHG20

Allison Marie Horst, Alison Presmanes Hill, and Kristen B Gorman. Palmerpenguins: palmer archipelago (antarctica) penguin data. R package version 0.1.0, 2020.

Val18

Raphael Vallat. Pingouin: statistics in python. Journal of Open Source Software, 3(31):1026, 2018.

DBCR12

David M Diez, Christopher D Barr, and Mine Cetinkaya-Rundel. OpenIntro statistics. OpenIntro, 2012.

BW20

Marc F Bellemare and Casey J Wichman. Elasticities and the inverse hyperbolic sine transformation. Oxford Bulletin of Economics and Statistics, 82(1):50–61, 2020.

BSorensen13

Hatice Ozer Balli and Bent E Sørensen. Interaction effects in econometrics. Empirical Economics, 45(1):583–603, 2013.

LHojsgaardSorensen99

Charlotte Lauridsen, Søren Højsgaard, and Martin Tang Sørensen. Influence of dietary rapeseed oil, vitamin e, and copper on the performance and the antioxidative and oxidative status of pigs. Journal of animal science, 77(4):906–916, 1999.

CCFF19

Matias D Cattaneo, Richard K Crump, Max H Farrell, and Yingjie Feng. On binscatter. arXiv preprint arXiv:1902.09608, 2019.

SUM+18

Raphael Silberzahn, Eric L Uhlmann, Daniel P Martin, Pasquale Anselmi, Frederik Aust, Eli Awtrey, Štěpán Bahník, Feng Bai, Colin Bannard, Evelina Bonnier, and others. Many analysts, one data set: making transparent how variations in analytic choices affect results. Advances in Methods and Practices in Psychological Science, 1(3):337–356, 2018.

SSN20

Uri Simonsohn, Joseph P Simmons, and Leif D Nelson. Specification curve analysis. Nature Human Behaviour, 4(11):1208–1214, 2020.

OP19

Amy Orben and Andrew K Przybylski. The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2):173–182, 2019.

vdSDK+21

Rens van de Schoot, Sarah Depaoli, Ruth King, Bianca Kramer, Kaspar Märtens, Mahlet G Tadesse, Marina Vannucci, Andrew Gelman, Duco Veen, Joukje Willemsen, and others. Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1):1–26, 2021.

RK16

Reuven Y Rubinstein and Dirk P Kroese. Simulation and the Monte Carlo method. Volume 10. John Wiley & Sons, 2016.

Bie01

Alex F Bielajew. Fundamentals of the Monte Carlo method for neutral and charged particle transport. Volume 1. The University of Michigan, 2001.

Bet18

Michael Betancourt. A conceptual introduction to hamiltonian monte carlo. arXiv, 2018.

SWF16

John Salvatier, Thomas V Wiecki, and Christopher Fonnesbeck. Probabilistic programming in python using pymc3. PeerJ Computer Science, 2:e55, 2016.

AAA+19

Kazunori Akiyama, Antxon Alberdi, Walter Alef, Keiichi Asada, Rebecca Azulay, Anne-Kathrin Baczko, David Ball, Mislav Baloković, John Barrett, Dan Bintley, and others. First m87 event horizon telescope results. iv. imaging the central supermassive black hole. The Astrophysical Journal Letters, 875(1):L4, 2019.

NunezAR18

Jamie R Nuñez, Christopher R Anderton, and Ryan S Renslow. Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data. PloS one, 13(7):e0199239, 2018.

AAA+16

Benjamin P Abbott, Richard Abbott, TD Abbott, MR Abernathy, Fausto Acernese, Kendall Ackley, Carl Adams, Thomas Adams, Paolo Addesso, RX Adhikari, and others. Observation of gravitational waves from a binary black hole merger. Physical review letters, 116(6):061102, 2016.

Rou21

Nicolas Rougier. Scientific Visualization: Python + Matplotlib. HAL Open Science, 2021.

Hun07

John D Hunter. Matplotlib: a 2d graphics environment. Computing in science & engineering, 9(03):90–95, 2007.

Sch21

Jonathan Schwabish. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press, 2021.

BW18

Karl W Broman and Kara H Woo. Data organization in spreadsheets. The American Statistician, 72(1):2–10, 2018.

NielsBantilan20

Niels Bantilan. Pandera: Statistical Data Validation of Pandas Dataframes. In Meghann Agarwal, Chris Calloway, Dillon Niederhut, and David Shupe, editors, Proceedings of the 19th Python in Science Conference, 116 – 124. 2020. doi:10.25080/Majora-342d178e-010.

RLW+21

Suman Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Remi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall Robinson Ellen Clancy, Alberto Arribas†, and Shakir Mohamed. Skillful precipitation nowcasting using deep generative models of radar. Nature, 597:672–677, 2021.

BMS+21

Jan M Brauner, Sören Mindermann, Mrinank Sharma, David Johnston, John Salvatier, Tomáš Gavenčiak, Anna B Stephenson, Gavin Leech, George Altman, Vladimir Mikulik, and others. Inferring the effectiveness of government interventions against covid-19. Science, 371(6531):eabd9338, 2021.

Bro22

Jessica H Brown. The tradeoff between knowledge of mandated benefits and moral hazard. Southern Economic Journal, 88(3):1037–1064, 2022.

Han20

David J Hand. Dark Data: Why What You Don't Know Matters. Princeton University Press, 2020.

Zin06

William Zinsser. On writing well: the classic guide to writing nonfiction. New York, NY, 2006.

WS72

Elwyn Brooks White and William Strunk. The elements of style. Macmillan New York, 1972.

Bel20

Marc F Bellemare. How to write applied papers in economics. Working Paper, 2020. URL: http://marcfbellemare.com/wordpress/wp-content/uploads/2020/09/BellemareHowToPaperSeptember2020.pdf.

Coo11

Lisa D Cook. Inventing social capital: evidence from african american inventors, 1843–1930. Explorations in Economic History, 48(4):507–518, 2011.

Boe17

Geoff Boeing. Osmnx: new methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65:126–139, 2017.

She12

Kevin Sheppard. Introduction to python for econometrics, statistics and data analysis. Self-published, University of Oxford, 2012. URL: https://www.kevinsheppard.com/files/teaching/python/notes/python_introduction_2020.pdf.

BFH+18

James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. JAX: composable transformations of Python+NumPy programs. none, 2018. URL: http://github.com/google/jax.