by Dennis | Mar 12, 2019 | Equities, R
This post outlines a framework for forecasting short term (i.e. daily tick data) directional movements of equity prices. The method used here relies on support vector machines and treats the system like a Markov Chain. Historical data is downloaded from stooq.com....
by Dennis | Mar 8, 2019 | Digital Ads, Python, Testing
The Google DV360 platform is making great strides in its feature set and usability. The platform allows many bulk actions to be performed via the user interface, however, targeting unique audiences and geographies is still a very manual process. This code aims is to...
by Dennis | Mar 8, 2019 | Digital Ads, R, Testing
This post overviews code for testing multiple variants using Bayesian statistics. It is especially useful when there is a defined action that can be classified as a success (i.e. a click or conversion) and when we have complete information about the number of trials...
by Dennis | Mar 8, 2019 | Digital Ads, R
This post discusses how to use polynomial regression for digital advertising data. Polynomial regression can help us better understand the relationship between spend and impressions (or spend and clicks). This method can be particularly useful when looking at daily...
by Dennis | Mar 8, 2019 | Google Analytics, R
This post outlines a method for analyzing how often pages appear together in user journeys on your website. To do so we utilize R and the Google Analytics API. You can find the full code on GitHub. We will rely on the dplyr, plyr, GoogleAnalyticsR, rio, RcppAlgos, and...
