Modeling the Disappearance of MH370
Soren Larson and Conor Myhrvold
Final project for AM207: Advanced Scientific Computing: Stochastic Optimization Methods. Monte Carlo Methods for Inference and Data Analysis.
Course Instructor: Pavlos Protopapas. Teaching Fellow and Advisor for Project: Rahul Dave.
Harvard University, School of Engineering and Applied Sciences (SEAS), Institute for Applied Computational Science (IACS)
=================For what is Part 1 of the project, see: https://github.com/myhrvold/MH370_MCMC which is self-referenced and documented. Here we include a Hidden Markov Model (Part 2) and Kalman Filter implementation (Part 3).
- Overall Website (which is actually many separate pages, but here we provide them all below)
- Parts 2&3 IPython Notebook of Code (see repository)
- Overall Project Report PDF
- Overall Poster PDF
- Screencast Presentation PDF + Link to Screencast Video
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Website:
General Audience Articles
Technical Descriptions and Visualizations via IPython Notebooks
Part 1, Version 1
Part 1, Version 2
Part 1, Version 3
Parts 2&3
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Poster
See in this repository, or get it here: Poster Dropbox Link.
Poster for the IACS Advisory Board Poster Session, to be held May 16,2014. Version 2 of original poster presented at SEAS Design Fair on May 6, 2014.
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Report
Our project writeup, which describes all parts of our project, can be found in or repository, or get it here: Write-up Dropbox Link.
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Screencast
Our screencast is here: http://youtu.be/uWNyE_312-I
Our screencast presentation can be found in our repository, or get it here: Screencast Pres Dropbox Link. The same with our screencast script.