'Petersburg paradox' presentation slideshows

Lecture 6 Discrete Random Variables: Definition and Probability Mass Function

Lecture 6 Discrete Random Variables: Definition and Probability Mass Function. Last Time Families of DRVs Cumulative Distribution Function (CDF) Averages Functions of RDV Reading Assignment : Sections 2.1-2.7. Probability & Stochastic Processes

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Discrete Math CS 2800

Discrete Math CS 2800. Prof. Bart Selman selman@cs.cornell.edu Module Probability --- Part c). 1) Linearity of Expectation 2) St. Petersburg (Gambling) Paradox 3) Randomized Algorithms 4) Variance. Linearity of Expectation. Linearity of Expectation. Thm.

618 views • 46 slides

Probability Introduction

Probability Introduction. IEF 217a: Lecture 1 Fall 2002 (no readings). Introduction. Probability and random variables Very short introduction Paradoxes St. Petersburg Ellsberg Uncertainty versus risk Computing power Time Chaos/complexity. Random Variable. (Value, Probability)

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The Bernoulli family

815 views • 9 slides