General
Probability And Random Variables
| Instructor: | Elif Uysal-Bıyıkoğlu |
Added: 21 February 2011
Probability And Random Variables
Konu özeti
Konu 2
Probability Spaces; Axioms and properties or probabilityKonu 3
Discrete and Continuous Probability Laws, Conditional ProbabilityKonu 4
Total Probability Theorem, Bayes's RuleKonu 5
Independence, Conditional IndependenceKonu 6
Independent Trials, CountingKonu 7
Discrete Random VariablesKonu 8
Expectation and VarianceKonu 9
Properties of Expectation and Variance, Joint PMFs
Konu 11
Conditioning one Random Variable on another; conditional expectation
Konu 12
Iterated Expectation; Independence of a random variable from an event
Konu 13
Independence of Random Variables
Konu 14
Continuous Random Variables
Konu 15
Expectation and the Cumulative Distribution Function
Konu 16
The Gaussian CDF
Konu 17
Conditional PDFs, Joint PDFs
Konu 18
Conditioning one random variable on another
Konu 19
Independence, Continuous Bayes's Rule; Derived Distributions
Konu 20
Derived Distributions
Konu 21
Functions of Two Random Variables; Correlation and Covariance
Konu 23
Transforms (Moment Generating Functions)
Konu 24
Markov and Chebychev Inequalities, Convergence In Probability
Konu 25
The Weak Law of Large Numbers
Konu 27
The Bernoulli Process
Konu 29
Konu 30
Social networks