Curtis Miller's Personal Webpage

MCHT is an R package for Monte Carlo and bootstrap hypothesis testing. It is available for free under the MIT license on GitHub.

Learn foundations of Python natural language processing and computer vision with the video course: Applications of Statistical Learning with Python, published with Packt Publishing

Announcing a new video course, "Training Your Systems with Python Statistical Modelling" for learning machine learning with Python, published with Packt Publishing.

A statistical study of time between U.S. recessions suggests estimates that the probability of a recession before 2020 election is about 80%.

Curtis Miller has created and published through Packt Publishing a video course for introductory data science with Python course entitled, "Unpacking NumPy and pandas," available now.

This article, the first in a two-part series, describes how to load stock data into an R environment and how to properly visualize stock data using the R library quantmod.

Curtis Miller released a new article Monday showing that Democrats tend to be more honest than Republicans, according to PolitiFact ratings.

Curtis Miller released a new article that introduces a case for why Utah Republicans support Evan McMullin for President and why Democrats should consider voting for him instead of Hillary Clinton.

A new article released by Curtis Miller argues, using DW NOMINATE scores, that Hillary Clinton has a progressive lean, and addresses other arguments against Hillary Clinton being considered right-wing.

The article builds upon the first in the series by describing methods for devising and evaluating trading strategies, particularly those based on moving average crossover strategies.