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Udemy - Stochastic Processes, Markov Chains and Markov Jumps

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      Author: Baturi   |   08 January 2021   |   : 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 35 lectures (2h 46m) | Size: 1 GB
By MJ the Fellow Actuary

What you'll learn:
The basics of Stochastic Processes and Markov Chains
Requirements
An understanding of actuarial statistics is required
Description
In this course we look at Stochastic Processes, Markov Chains and Markov Jumps
We then work through an impossible exam question that caused the low pass rate in the 2019 sitting.
This question requires you to have R Studio installed on your computer.
Things we cover in this course:
Section 1
Stochastic Process
Stationary Property
Markov Property
White Noise
Increments
Random Walks
Section 2
Markov Chains
Transition Probabilities
Chapman-Kolmogorov Equations
Transition Matrix
Stationary Probability Distributions
Irreducibility
Periodicity
Section3
R Studio Exam Question
Section 4
Markov Jump Process
Transition and Survival Probabilities
Kolmogorov's Forward Differential Equation
Transition Rates
Generator Matrix
Kolmogorov's Backward Differential Equation
Who this course is for
Actuarial Students writing the professional exams
Homepage
https://www.udemy.com/course/stochastic-processes-and-markov-chains

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