6.041 / 6.431 1. Probability Models and Axioms

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This lecture notes introduces Probability Models and Axioms . Probability as a mathematical frame work for reasoning about uncertainty. Topics covered in this lecture notes are 1. Probabilistic models (a) Sample Space (b) Probability Law 2.Axioms of probability and 3. Simple examples.

Instructors: Prof.Dimitri Bertsekas, Prof. John Tsitsiklis, MIT Course Number:6.041 / 6.431, Level: Undergraduate / Graduate 6.041 / 6.431 1. Probability models and axioms, Probabilistic Systems Analysis and Applied Probability, Electrical Engineering and Computer Science, Engineering, Massachusetts Institute of Technology: MIT Open Course Ware, http://ocw.mit.edu (11-11-2011). License: Creative Commons BY-NC-SA: http://ocw.mit.edu/terms/#cc.


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