Recommended Statistics Papers

by Madeleine Thompson, 2019–12-14

• Poststratification into many categories using hierarchical logistic regression, by Andrew Gelman and Thomas C. Little (1997)
• Slice sampling, by Radford Neal (2003)
• Conjugate Bayesian analysis of the Gaussian distribution, by Kevin P. Murphy (2007)
• Gaussian process kernels for pattern discovery and extrapolation, by Andrew Gordon Wilson and Ryan Prescott Adams (2013)
• Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, by Kyunghyun Cho et al (2014)
• Estimating the reproducibility of psychological science, by the Open Science Collaboration (2015)
• Causal inference in economics and marketing, by Hal Varian (2016)

Also check out the whole "Everything is Fucked" syllabus.