• September 3, 2012

    An introduction to Bayesian analysis and why you might care. Fight club The subject of statistics is about how to learn.  Given that it is about the unknown, it [...]

  • May 17, 2012

    All models are wrong, some models are more wrong than others. The streetlight model Exponential decay models are quite common.  But why? One reason a model might be popular [...]

  • April 16, 2012

    Guiding a ship, it takes more than your skill Spark David Rowe's Risk column this month is about data leverage. The idea is that you are leveraging your data [...]

  • February 6, 2012

    The Super Bowl tells us so. The Super Bowl Indicator The championship of American football decides the direction of the US stock market for  the year.  If a "National" [...]

  • August 25, 2011

    The title says "things" but conferences are mainly about people. Some of it can be serendipitous.  For example, one day I sat next to Jonathan Rougier at lunch because [...]

  • June 30, 2011

    Winsorization replaces extreme data values with less extreme values. But why Extreme values sometimes have a big effect on statistical operations.  That effect is not necessarily a good effect.  [...]

  • December 30, 2010

    The blog year started in August and consists of 30-something posts.  Here is a summary. Most popular Ideas for World Statistics Day A quant review of "The Quants" by [...]

  • November 29, 2010

    The Joy of Stats really is a joy.  It will be shown on BBC4, apparently scheduled for December 7.  (That date comes from Hans Rosling on twitter, I haven't [...]

  • November 26, 2010

    Many from the R world will know The R Inferno. Abstract: If you are using R and you think you're in hell, this is a map for you. A [...]

  • November 11, 2010

    As if that is news to some of you. Forbes has a Mean Business blog post by Steve McNally titled "Names You Need to Know in 2011: R Data [...]