Statistics

INBOX

• Probability Theory (For Scientists and Engineers)
  • https://news.ycombinator.com/item?id=16841747
• https://theclevermachine.wordpress.com/2012/11/19/a-gentle-introduction-to-markov-chain-monte-carlo-mcmc/
  • https://theclevermachine.wordpress.com/2012/09/22/monte-carlo-approximations/
  • https://theclevermachine.wordpress.com/2012/09/24/a-brief-introduction-to-markov-chains/
  • https://theclevermachine.wordpress.com/2012/10/05/mcmc-the-metropolis-sampler/
  • https://theclevermachine.wordpress.com/2012/10/20/mcmc-the-metropolis-hastings-sampler/

Courses

• Harvard Stats 110 | YouTube | Max Wang Class Notes | William Chen Cheatsheet
  • Top 10 Ideas from Class
• MIT 18.440
• Notre Dame
• Stanford CS109
• UC Irvine Stats 131a
  • My Notes
• UC Irvine Stats 131b
• University of Texas: Statistical and Discrete Methods for Scientific Computing

UC

Online Books

• Introduction to Probability and Statistics Using R
• Probability and Stochastic Processes with Applications - Oliver Knill

Blogs

• https://blog.statsbot.co

Bayes

• http://www.greenteapress.com/thinkbayes/html/thinkbayes001.html
  • https://news.ycombinator.com/item?id=15732926

Markov Chains

• Introduction to Markov Chains
• The Markov Property, Chain, Reward Process and Decision Process
  • https://news.ycombinator.com/item?id=17112302

Kalman Filters

• How a Kalman filter works, in pictures ` - https://news.ycombinator.com/item?id=17116149
  • https://news.ycombinator.com/item?id=10042050
  • https://news.ycombinator.com/item?id=13449229
• http://www.anuncommonlab.com/articles/how-kalman-filters-work/
  • https://news.ycombinator.com/item?id=11561770
• https://github.com/lukstei/trading-backtest/tree/master
• http://htmlpreview.github.io/?https://github.com/aguaviva/KalmanFilter/blob/master/KalmanFilter.html
  • https://news.ycombinator.com/item?id=16575679