Political polls – why do they work – or don’t This is written in the week before the 2017 New Zealand General Election and it is an exciting time. Many New Zealanders are finding political polls fascinating right now. We … Continue reading →
Political polls – why do they work – or don’t This is written in the week before the 2017 New Zealand General Election and it is an exciting time. Many New Zealanders are finding political polls fascinating right now. We … Continue reading →
The recent article in the Listener highlights again the need for all citizens to be statistically literate. In particular I believe statistical literacy should be a compulsory part of all journalists’ training. I have written before about this. I was happy … Continue reading →
Inference is THE big idea of statistics. This is where people come unstuck. Most people can accept the use of summary descriptive statistics and graphs. They can understand why data is needed. They can see that the way a sample … Continue reading →
The following is a guest post by Tony Hak of Rotterdam School of Management. I know Tony would love some discussion about it in the comments. I remain undecided either way, so would like to hear arguments. GOOD REASONS FOR NOT TEACHING … Continue reading →
The following is a guest post by Tony Hak of Rotterdam School of Management. I know Tony would love some discussion about it in the comments. I remain undecided either way, so would like to hear arguments. GOOD REASONS FOR NOT TEACHING … Continue reading →
This blog post is derived from a computer practical session that I ran as part of my new course on Statistics for Big Data, previously discussed. This course covered a lot of material very quickly. In particular, I deferred introducing notions of hierarchical modelling until the Bayesian part of the course, where I feel it … Continue reading One-way ANOVA with fixed and random effects from a Bayesian perspective
This blog post is derived from a computer practical session that I ran as part of my new course on Statistics for Big Data, previously discussed. This course covered a lot of material very quickly. In particular, I deferred introducing notions of hierarchical modelling until the Bayesian part of the course, where I feel it … Continue reading One-way ANOVA with fixed and random effects from a Bayesian perspective
Two of the most common methods of statistical inference are frequentism and Bayesianism (see Bayesian and Frequentist Approaches: Ask the Right Question for some good discussion). In both cases we are attempting to perform reliable inference of unknown quantities from related observations. And in both cases inference is made possible by introducing and reasoning over … Continue reading Frequentist inference only seems easy → Related posts: Bayesian and Frequentist Approaches:…
I will be at HEC Montréal Monday morning and Tuesday, for the Mathematical Finance Days. I will give a talk on Quantiles Estimation from Heavy Tailed Distribution, based on some joint work with Emmanuel Flachaire. I will upload the slides soon̷...
Ethan Siegel wrote a post entitled The Math of the Fastest Human Alive five years ago, using regressions. An alternative is too use extreme value models (I wrote a post a long time ago on the maximum length of a tennis match using extreme value theory a few years ago). In 2009, John Einmahl and Sander Smeets wrote a great article entitled ultimate 100m world records through extreme-value theory. The article is…
