In this post we compare the performance of our Python implementation for two popular methods to simulate samples from a pair of independent normal random variables: Box-Muller and Marsaglia-Bray.
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Simulating Normal Random Variables
Two simple ways to simulate a pair of independent standard normal distributions with Python code.
– Box-Muller Transform
– Marsaglia-Bray Transform
JP Morgan Challenge
On July 4, 2019 I participated on the JP Morgan Corporate Challenge for the first time. A couple of days after the race the results were online and I could not help but taking a look at the data. Here are the highlights!
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Fertility Rate in Mexico 1950-2015
This post contains a Bokeh app showing the rapid change in Fertility Rate that took place in Mexico during the last 50 years. The idea is to illustrate how simple data visualisation tools can help to communicate a story. Fertility rate in Mexico was close to 7 children during the 50s and 60s. It reached […]
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Testing for Normality
Simple Python function to test for Normality. Visual Tools and Hypothesis Tests.
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