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Arthur DANJOU
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- Created index.md for personal introduction and interests. - Added languages.json to specify language proficiencies. - Developed profile.md detailing academic background, skills, and career goals. - Introduced multiple project markdown files showcasing personal and academic projects, including ArtChat, ArtHome, and various data science initiatives. - Implemented skills.json to outline technical skills and competencies. - Compiled uses.md to document hardware and software tools utilized for development and personal projects.
32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
---
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slug: monte-carlo-project
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title: Monte Carlo Methods Project
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type: Academic Project
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description: An implementation of different Monte Carlo methods and algorithms in R, including inverse CDF simulation, accept-reject methods, and stratification techniques.
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publishedAt: 2024-11-24
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readingTime: 3
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status: Completed
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tags:
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- R
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- Mathematics
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- Statistics
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- Monte Carlo
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- Numerical Methods
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emoji: 💻
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---
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This is the report for the Monte Carlo Methods Project. The project was done as part of the course `Monte Carlo Methods` at the Paris-Dauphine University. The goal was to implement different methods and algorithms using Monte Carlo methods in R.
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Methods and algorithms implemented:
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- Plotting graphs of functions
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- Inverse c.d.f. Random Variation simulation
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- Accept-Reject Random Variation simulation
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- Random Variable simulation with stratification
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- Cumulative density function
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- Empirical Quantile Function
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You can find the code here: [Monte Carlo Project Code](https://go.arthurdanjou.fr/monte-carlo-code)
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<iframe src="/projects/monte-carlo-project/Report.pdf" width="100%" height="1000px">
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</iframe>
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