Implementing Monte Carlo Method in R

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Chase DeHan

1:42:33

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1. Course Overview

1. Course Overview.mp4

01:23

2. Understanding Monte Carlo Basics

1. Introduction to Monte Carlo.mp4

04:20

2. MC Basics in R.mp4

08:44

3. Rolling the Dice.mp4

06:14

4. Estimating Pi.mp4

03:55

3. Making Predictions with Monte Carlo

1. Introduction.mp4

01:24

2. Random Walk.mp4

05:38

3. Simulating Random Walk with MC.mp4

07:38

4. Point Estimates and Confidence Intervals.mp4

08:23

5. Predictions on Commodities Data.mp4

10:33

6. Conclusion.mp4

00:51

4. Using Monte Carlo for Value at Risk

1. Introduction to Value at Risk.mp4

03:04

2. Data Preparation.mp4

05:09

3. Parametric and Historical VaR.mp4

06:02

4. Monte Carlo VaR.mp4

05:48

5. Utilizing MC for AB Testing

1. Introduction to AB Testing.mp4

02:22

2. Two Sample t-test.mp4

04:21

3. Chi-squared Test.mp4

04:44

4. AB Testing with Monte Carlo.mp4

07:03

5. Inserting a Prior into the Simulations.mp4

04:57

Description

Some problems are difficult or impossible to solve with standard mathematical or statistical approaches - these can often be solved by using the Monte Carlo method. This course covers multiple Monte Carlo applications for ready use.

What You'll Learn?

Repeated sampling using the Monte Carlo method can be a much more efficient approach in solving difficult problems vs. standard mathematical or statistical practices. In this course, Implementing Monte Carlo Method in R, you’ll gain the ability to build your own Monte Carlo simulations using a variety of approaches and know which solution is most effective. First, you’ll explore the basics behind Monte Carlo and the fundamental functions in R. Next, you’ll discover some simple methods, followed by simulations on stock and commodities data for estimating return probabilities. Finally, you’ll learn how to use Monte Carlo methods on A/B tests. When you’re finished with this course, you’ll have the skills and knowledge of Monte Carlo methods needed to implement these methods yourself.

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R Programming

Chase DeHan

Instructor's Courses

Chase is currently Lead Data Scientist at Tesorio and formerly was an Assistant Professor of Finance and Economics at the University of South Carolina Upstate. He holds a BS, MS, and PhD, all in Economics, from the University of Utah. Prior to graduate school, Chase served two combat tours to Iraq with the US Marine Corps and competed in the 2010 Winter Olympic Trials in Bobsled. Chase is passionate about building automated machine learning systems and is a regular speaker at academic and practitioner conferences. He lives in Salt Lake City and is an avid skier, mountain biker, and coffee junkie.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.