Lecture 14: Sampling and Monte Carlo Simulation
author: John Guttag,
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, MIT
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: March 2011, views: 4100
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: March 2011, views: 4100
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
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Description
This lecture starts with some examples of how to use pylab's plotting mechanisms. It then returns to the topic of using probability and statistics to derive information from samples.
Topics covered: Plotting, randomness, probability, Pascal's algorithm, Monte Carlo simulation, inferential statistics, gambler's fallacy, law of large numbers.
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