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Name of course : Measure Theory and Advanced Probability
Description : Modern measure and integration theory in abstract spaces. Probability measures, random variables, expectations. Distributions and characteristic functions. Modes of convergence. Independence, zero-one laws, laws of large numbers, three-series theorem. Central limit problem. Conditional expectations, martingales and martingale convergence theorems.
Prerequisites : MA 426; ST 521 or MA(ST) 546 or equivalent
Corequisites :
Comments :
Average user rating :
Average GPA of classes in course : 3.33
Std. dev. of classes in course : 0.04
Percentile within all courses : 61%
Percentile within department courses : 40%
 Fall 2005
Class Instructor GPA Std. Dev. Percentile Users
ST 778 section 001 Bhattacharya % 0
 Fall 2004
Class Instructor GPA Std. Dev. Percentile Users
ST 778 section 001 Bhattacharyya % 0
ST 778 section 002 Silverstein % 0
 Fall 2003
Class Instructor GPA Std. Dev. Percentile Users
ST 778 section 001 Bhattacharyya 3.35 0.56 100% 0
ST 778 section 002 Silverstein % 0
 Fall 2002
Class Instructor GPA Std. Dev. Percentile Users
ST 778 section 001 Bhattacharyya 3.30 0.47 50% 0
ST 778 section 002 Silverstein % 0
 Fall 2001
Class Instructor GPA Std. Dev. Percentile Users
ST 778 section 001 Bhattacharyya % 0
ST 778 section 002 Silverstein % 0

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