Useful rules of thumb for bounding random variables (Part 1)

  In a previous post we were discussing the pros and cons of parametric and non-parametric models, and how they can complement each other. In this post, we will add a little more into the story. More specifically, we are going to talk about bounds to the probability that a random variable deviates from its expectation. In these … Continue reading Useful rules of thumb for bounding random variables (Part 1)

Book Chapter Review: If your model is mis-specified, are you better off?

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This post is my interpretation of Chapter 10 of the book "Advanced Data Analysis from an Elementary point of view". It is one of the most interesting reads I have found in quite some time (together with this). Actually, the original title for the post was "Book Chapter review: Using non-parametric models to test parametric model … Continue reading Book Chapter Review: If your model is mis-specified, are you better off?