Recursos

Ciência e Ciência Reprodutível

Palestras

• Reproducible, Reusable, and Robust Reinforcement Learning (Joelle Pineau, NeurIPS, 2018)
• The Reproducibility Crisis (Sabine Hossenfelder entrevista Dorothy Bishop, 2020)
  • Rein in the four horsemen of irreproducibility (Dorothy Bishop, Nature, 2019)
• Reproducing 150 Research Papers and Testing Them in the Real World: Challenges and Solutions (Grigori Fursin, ACM Tech Talks, 2021)

Livros

• Statistics Done Wrong (Alex Reinhart, 2015)
• Science Fictions (Stuart Ritchie, 2020)
• Great Scientific Experiments: Twenty Experiments that Changed our View of the World (Rom Harré, 2011)
• Calling Bullshit (Bergstrom and West, 2020)

Estatística

• Design and Analysis of Experiments (Douglas Montgomery, 2019)
• Statistics for Experimenters (Box, Hunter, and Hunter, 2005)
• Statistical Rethinking (Richard McElreath, 2020)
• The Art of Computer Systems Performance Analysis (R. Jain, 1991)
• The Art of Statistics (David Spiegelhalter, 2019)
• All of Statistics (Larry Wasserman, 2004)
• An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013)
  • More in depth: The Elements of Statistical Learning (Hastie, Tibshirani, Friedman, 2009)
• Pattern Recognition and Machine Learning (Christopher M. Bishop, 2006)