“Comparing Apples and Oranges: Two Examples of the Limits of Statistical Inference, With an Application to Google Advertising Markets” is our analysis of Google AdSense Channel IDs and our use of the Cramer Rao bound to show that these IDs fundamentally limit what participants in the Google online advertising market can measure (and therefore in turn limit what these players can do).

Continue reading Google AdSense Channels IDs and the Cramer Rao Inequality

# Tag Archives: AdSense

# New Paper

author: John Mount

Nina and I just finished up our analysis of some of the statistical difficulties encountered by users of Google AdSense. It came out a bit long- but we found the right statistical reference to prove that there are real barriers to understanding in this market. The paper is most legible in PDF, but we also include an HTML version so the blog entry can be skimmed.