Statistics

I came across a post few days back which stated that Bayesian Methodologies are better at handling Multicollinearity in MMM. This is simply not true. Multicollinearity is a information redundancy problem and Bayesian methodology can’t magically solve it. Rather the problem becomes worse in case of Bayesian MMM because your posterior distribution keeps getting wide […]

A week ago, I talked about epistemic uncertainty in Bayesian framework as a result of uninformative priors. That post drew expected reactions and many of Bayesian loyalists provided only hand wavy refutations. ICYMI the link to post is in comments. Anyhow, I stumbled upon an interesting tweet from Richard McElreath. I have named it ‘Richard

MMM is something that always leads you to reminisce about the learning one had or hadn’t during their statistics course. 15 years ago, when I was a student, I attended one statistics seminar. In it the professor told “Always be testing your assumptions”. That statement rings true even now, especially in MMM. In MMM, inference is

When we talk about application of statistics during world war 2, somehow the image of the airplane with red dots (survivorship bias) comes to mind. Don’t worry I am not going delve on that again 😅 There are however other lesser known statistical applications during world war 2 which had a huge impact in the