Miguel Suárez is currently finishing a computer science master’s program at IPN’s Center for Computer Research in Mexico City.
His interests are complex systems, financial markets, and software engineering. He likes programming and getting to know new applications of computers to everyday life.
He also enjoys reading literature classics and esoteric stuff, watching movies, and listening to music.
Project: Comparison of Different Distributions for Stock Price Projections
Wolfram|Alpha assumes a log-normal distribution for the description of stock prices’ behavior in order to make projections. For this project, I used methods implemented in Mathematica for probability distributions fitting and applied them to stock prices together with a measure of the relative goodness of fit, using Akaike information criterion (AIC) as a means for model selection.
Favorite Four-Color, Four State Turing Machine