In this video tutorial on YouTube, I use the exponential distribution’s moment generating function (MGF) to obtain the expected value of this distribution. Visit my YouTube channel to watch more video tutorials!

It delights me that several of my statistics videos have been viewed over half a million times each. As well there is a stream of lovely comments (with the odd weird one) from happy viewers, who have found in the … Continue reading →

Arnab Chakraborty kindly came to my new talk show, “The Central Equilibrium”, to talk about Bayes’ theorem. He introduced the concept of conditional probability, stated Bayes’ theorem in its simple and general forms, and showe...

It was a great pleasure to talk to Christopher Salahub about Markov chains in the second episode of my new talk show, The Central Equilibrium! Chris graduated from the University of Waterloo with a Bachelor of Mathematics degree in statistics. He just finished an internship in data development at Environics Analytics, and he is starting […]

Introduction This weekend I’ve been preparing some material for my upcoming Scala for statistical computing short course. As part of the course, I thought it would be useful to walk through how to think about and structure MCMC codes, and in particular, how to think about MCMC algorithms as infinite streams of state. This material … Continue reading MCMC as a Stream