The Sum of Discrete and Continuous Random Variables

preview_player
Показать описание
MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
Instructor: Jagdish Ramakrishnan

License: Creative Commons BY-NC-SA
  1. MIT OpenCourseWare
  2. discrete random variable
  3. continuous random variable
  4. probability density function
  5. sum of random variables
Рекомендации по теме
The Sum of 0:05:37

The Sum of Discrete and Continuous Random Variables

L12.2 The Sum 0:07:52

L12.2 The Sum of Independent Discrete Random Variables

RULE of SUM 0:09:23

RULE of SUM and RULE of PRODUCT - DISCRETE MATHEMATICS

[Discrete Mathematics] Rule 0:06:00

[Discrete Mathematics] Rule of Sum and Rule of Product Examples

Discrete and continuous 0:11:56

Discrete and continuous random variables | Probability and Statistics | Khan Academy

[Discrete Mathematics] Rule 0:11:12

[Discrete Mathematics] Rule of Sum and Rule of Product

Discrete Math II 0:19:37

Discrete Math II - 6.1.1 The Rules of Sum and Product

Summation Formulas and 0:20:24

Summation Formulas and Sigma Notation - Calculus

Solve with us 2:01:09

Solve with us -week 7

Discrete Math - 0:06:40

Discrete Math - 2.4.3 Summations and Sigma Notation

Discrete random variable 0:10:22

Discrete random variable problem/ application of discrete random variable

02 - Random 0:29:54

02 - Random Variables and Discrete Probability Distributions

Counting principles - 0:10:52

Counting principles - rule of product & sum || Discrete Structures

Period of a 0:06:58

Period of a sum of two discrete complex exponentials

Sum and Product 0:02:35

Sum and Product Principles for Finite Sets [Discrete Math Class; Visual Proof]

what is sigma 0:01:22

what is sigma notation and how to we use it

Expected Value and 0:07:57

Expected Value and Variance of Discrete Random Variables

Sum of Two 0:19:05

Sum of Two Independent Identically Distributed Discrete RVs (Introduction to Discrete Convolution)

DISCRETE PROBABILITY DISTRIBUTION: 0:05:29

DISCRETE PROBABILITY DISTRIBUTION: FINDING THE UNKNOWN PROBABILITIES.

Discrete Math 2.4.3 0:06:11

Discrete Math 2.4.3 Intro to Summations

GATE 2024 | 0:47:20

GATE 2024 | Discrete Mathematics | Summation | Computer Science Engineering | BYJU'S GATE

RANDOM VARIABLES I 0:12:47

RANDOM VARIABLES I DISCRETE AND CONTINUOUS I GRADE 11 STATISTICS AND PROBABILITY I EPISODE 1

Discrete Time Convolution 0:10:10

Discrete Time Convolution Example

Basics of Computing 0:11:11

Basics of Computing || Sum rule || Product Rule || Combinatorics || Discrete Mathematics || DMS

Комментарии
Автор

It's 2019 and this has saved my bacon in my stochastic class. It's been a little while since I've brushed up on probability so this was extremely clear and was super helpful in refreshing my probability basics

Chris_W.
Автор

Superb teacher. Very clear. Your voice is commanding. This is superb.

khayalethumakosi
Автор

Thanks! This was super clear, you are a great teacher!

LEO-ydro
Автор

Another way to solve this convolution is to use the total probability theorem. Let Z = X + Y, and we can use p_X and f_Z|X(z|x) = f_y(z-x) to find f_Z(z).

zachzhao
Автор

How can we solve if X and Y are not independent??

PriyaSingh-zyfx
Автор

Hi,
what if the convolution is for 3 variables, let's say Z = X+Y+W? could you give an example or ressource please?

vincehass