Monthly Archives: October 2013


Here is a nice Ed Jaynes quote, from his article “Probability Theory as Logic”: “Then in studying probability theory, it was vaguely troubling to see reference to “gaussian┬árandom variables”, or “stochastic processes”, or “stationary time series”, or “disorder”, as if … Continue reading

Posted in Inference, Information | 3 Comments

Monty Hall Contradicts Itself

The Monty Hall Problem is a notorious puzzle in probability. I will assume you are familiar with it. The well known conclusion is that you should switch, which will give you a 2/3 probability of winning. However, with different assumptions, … Continue reading

Posted in Inference | 4 Comments