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)