Description
Central Limit theorem derived from Stochastic Processes is a training course on Central Limit Theorem derived from Stochastic Processes published by Yudemi Academy. This training course will prove Gaussian behavior for us using mathematics. The Gaussian distribution, or normal distribution, has long been proven in academic settings using large volumes of natural random processes. This training course aims to prove this Gaussian behavior for us with mathematical logic and show us everything on paper. The formulas obtained in this course will help us get a completely logical result from a random function based on the principle of Gaussian distribution.
The results generated in this round are in perfect agreement with the central limit theorem and will clarify many blind spots for us. This training course is a very advanced and complex course that will be taught based on the doctorate thesis of the course instructor. In this regard, many formulas and calculations may seem new and novel to some students.
What you will learn in the Central Limit theorem derived from Stochastic Processes training course:
- Mathematical proof of Gaussian distribution or normal distribution with random and natural processes
- Calculation of the probability density function with a specific signal in a unique time domain
- Orgadisity (ergodicity)
- And …
Course details
Publisher: Yudmi
teacher: Emanuele Pesaresi
English language
Training level: advanced
Number of courses: 21
Training duration: 4 hours and 13 minutes
Course topics on 5/2022
Course prerequisites
Fourier transform and its inverse
Fourier series
Calculus (integrals, derivatives)
Basic concepts of probability theory (what is a: random variable, probability density, etc.)
The prerequisites for the course are listed on this page and in the introductory video. It is worth mentioning that the most fundamental properties of the Fourier Transform and Fourier series, which are needed throughout the course’s lectures, are revised in the first part of the course.
Course images
Video introducing the Central Limit theorem derived from Stochastic Processes course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
2.1 GB
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