by George Perrett - Applied Statistician and Research Scientist A/B testing has become commonplace in the business and tech community. The method allows decision makers to see which version of a product performs better and enables leaders to make evidence-informed decisions. Companies, political campaigns and market research firms often utilize these tests to improve website … Continue reading Exploring A/B Testing Mistakes: a simulation study
by George Perrett - Applied Statistician and Research Scientist What are your plans for the weekend? While it is easy to imagine that Americans spend their weekends differently, this is a challenging question to empirically validate. Describing the average American’s weekend plans is an easy exercise in descriptive statistics. On average, the typical American spends … Continue reading Working on the Weekend Like Usual: A cluster analysis of how Americans’ spend their weekends
Guest Post by Luis Cruz A Quantitative Analysis of Volatility and Market Fundamentals for Trading in the Options Market Using Statistical Arbitrage Introduction In the last few decades, there has been an astonishing demand in the market for derivatives. Options are a very powerful tool for investors and traders. They are complex financial derivatives that … Continue reading A Quantitative Analysis of Volatility and Market Fundamentals for Trading in the Options Market Using Statistical Arbitrage
I recently started reading the book Python Machine Learning by Sebastian Raschka. As I go through the book, I plan on doing a series of posts that will outline what I learn along the way. This post outlines the first chapter, "Training Machine Learning Algorithms for Classification". Specifically, the chapter dives into using a Perceptron … Continue reading Training a Perceptron Model in Python
