Transcription of Probability Theory: STAT310/MATH230;August 27, 2013
{{id}} {{{paragraph}}}
Example: air traffic controller
Probability Theory: STAT310/MATH230;August 27, 2013
Probability theory : stat310 / math230 ; August27, 2013 Amir DemboE-mail of Mathematics, Stanford University, Stanford, CA 1. Probability , measure and Probability spaces, measures and Random variables and their Integration and the (mathematical) Independence and product measures54 Chapter 2. Asymptotics: the law of large Weak laws of large The Borel-Cantelli Strong law of large numbers85 Chapter 3. Weak convergence,cltand Poisson The Central Limit Weak Characteristic Poisson approximation and the Poisson Random vectors and the multivariateclt141 Chapter 4. Conditional expectations and Conditional expectation: existence and Properties of the conditional The conditional expectation as an orthogonal Regular conditional Probability distributions171 Chapter 5.
1.1. Probability spaces, measures and σ-algebras 7 1.2. Random variables and their distribution 18 1.3. Integration and the (mathematical) expectation 30 1.4. Independence and product measures 54 Chapter 2. Asymptotics: the law of large numbers 71 2.1. Weak laws of large numbers 71 2.2. The Borel-Cantelli lemmas 77 2.3. Strong law of large ...
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: