# Statistics [[Mathematics]] ## Topics - [[Bayesian Statistics]] - [[Monte Carlo Methods]] - [[Markov Chain Monte Carlo]] - [[Probabilistic Programming]] - [[Sampling (Statistics)]] ## Mathematics - [[Probability Distribution]] ## Links There is a significant section on sampling and estimation in [[COURSE - Stanford - The Modern Algorithmic Toolbox]]. An in-depth article about the model [[Nate Silver]] used for the senate election in 2014: - [How The FiveThirtyEight Senate Forecast Model Works | FiveThirtyEight](https://fivethirtyeight.com/features/how-the-fivethirtyeight-senate-forecast-model-works/) ## Books - [[BOOK - Statistical Rethinking - Richard McElreath]] - [[BOOK - The Seven Pillars of Statistical Wisdom - Ernest DeWitt Burton Distinguished Service Professor of Statistics Stephen M Stigler Stephen M Stigler]] - [[BOOK - An Introduction to Statistical Learning - Gareth James Daniela Witten Trevor Hastie Robert Tibshirani]] - [[BOOK - Causal Inference in Statistics - Judea Pearl Madelyn Glymour Nicholas P Jewell]] - [[BOOK - Probabilistic Graphical Models - Daphne Koller Nir Friedman]] - [[BOOK - Pattern Recognition and Machine Learning - Christopher M Bishop]] - [[BOOK - Machine Learning - Kevin P Murphy]] - [[BOOK - Foundations of Data Science - Avrim Blum John Hopcroft Ravi Kannan]]