School Seminars and Colloquia

Statistical Blogging: The Fishing in the Bay Story

Stats Society Seminar

by Professor Chris Lloyd

Institution: Melbourne Business School, The University of Melbourne
Date: Tue 23rd June 2009
Time: 6:15 PM
Location: Russell Love Theatre, Richard Berry Building, The University of Melbourne

Abstract: Chris Lloyd's recent research focuses on accurate inference for count data, including so-called exact methods, higher order asymptotics and bootstrap. His recent teaching is centred on business statistics for MBA students, and emphasizes hands-on computation, how to assess rather than ignore uncertainty, and how to combine several simple techniques to unpack complex business problems. The talk however is about the third strand of the so-called triple helix - knowledge transfer. For the past three years, Chris has run a weblog covering all areas of statistics and probability (and sometimes cricket).


Prior to the web, professional peers were linked though societies and the conferences and newsletters they sponsored. Interactions were limited to members and specific times. The first professional forums that used the web were professional lists (such as anzstat) and discussion boards (such as radstats) where participation was less restricted and communication more immediate. During the past five years a new platform, the weblog, has emerged. The number of weblogs has doubled every six months, yet only a small minority is oriented towards particular professional communities, let alone statisticians.

In this talk I will talk about blogs in general and why I decided to establish one for the Australasian statistical community. Have you ever wondered how to set one up, how much time it takes to run and how I find material to post? Perhaps not, but I will tell you anyway. I will illustrate the advantages of the platform as I see it. Some of my favourite posts will be described in detail. I will finish by describing how FIB could be a much more effective space for our profession, with only a small but consistent input from my fellow statisticians.

For More Information: contact: Ian Gordon. email: