This class was created by Brainscape user Giuliano Tedeschi.

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Decks in this class (15)

Introduction to probability
What is probability 1,
Ingredients of random experiments 2,
Set 3
7  cards
Classical Probability
Uniform probability
3  cards
Conditional Probability
Conditional probability 1,
Remarks of conditional probability 2,
Properties of conditional probabi...
3  cards
Independence of events
Definition of independence of eve...
1  cards
Random Variables
Definition random variables 1,
Distribution of x 2,
Discrete random variable 3
20  cards
Distribution function
Definition distribution function 1,
General properties of the distrib...
2  cards
Continuous random variable
Definition continuous random vari...,
Theorem continuous random variable 2,
Properties of continuous random v...
9  cards
Random vectors and Joint distribution
Definition joint density 1,
Marginal densities theorems 2,
Independent random variables 3
10  cards
Continuous random vector
Continuous random vector 1,
Continuous random vector 2,
Continuous random vector 3
4  cards
Conditional expectation
Loss function definition 1,
Conditional density definition 2,
Conditional expectation 3
5  cards
Sums of independent random variables and limit theorems
Convolution of p and py 1,
Gamma random variable 2,
Law of large number 3
7  cards
Discrete-time Markov chains
Markov chain definition 1,
Markov chain stochastic process 2,
Markov property 3
24  cards
Exponential distribution
Exponential distribution 1,
Exponential distribution 2,
Exponential distribution 3
7  cards
Homogeneous Poisson Process
Counting processes definition 1,
Counting processes requirements 2,
Counting processes examples of co...
10  cards
Continuous-time Markov Chains
Continuous time markov chains 1,
Continuous time markov chains 2,
Continuous time markov chains 3
14  cards

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Probability for data science

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