Talks

I have recently given various versions of the following talk to various research groups:

The 7 hardest lessons to learn in statistics

What is the current state of the theory of statistical inference? Is it essentially in a good state except for a relatively small number of issues that need to be tidied up? Or is what is usually presented as being the standard and accepted theory of statistical inference so full of conceptual holes that it is nothing short of an embarrassment for anyone who wishes to describe themselves as a statistician? This talk explores these questions by presenting lessons that arguably need to be learnt but have proved difficult to learn for reasons that to a great extent are not related to doing good independent and impartial science. By exposing ourselves to such an uncomfortable level of introspection, a greater understanding can be gained about what we have done, where we are at and where we should be going. 

Places where I have given this talk either in person or online (click on date to see the announcement):

• School of Mathematics Research, University of Bristol, England on 12th April 2024 (In person)

• Bristol Medical School, England on 25th June 2024 (Online)

• Department of Mathematics and Statistics, Arkansas State University, USA on 2nd October 2024 (Online)

• Dept. of Mathematics and Statistics, Auburn University, Alabama, USA on 4th December 2024 (Online)

• Dept. of Mathematics and Statistics, California State University, Chico, USA on 13th December 2024 (Online)

Next place where I will be giving this talk:

• Dept. of Mathematics and Statistics, Bowling Green State University, USA

If you would like me to give this talk to your research group, then please let me know.