Julian Faraway

Picture of JJF

I am a Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.

Directions

My office is 4W5.9 (directions). You can call me at +44 (0) 1225 386992 or fax me at +44 (0) 1225 383436. My email address is jjf23@bath.ac.uk. You can also send me a letter at

Department of Mathematical Sciences,
University of Bath,
Bath, BA2 7AY
UNITED KINGDOM

github, blog and Twitter at @julianfaraway

History

I got my B.A. in Mathematics (1982) and Diploma in Mathematical Statistics (1983) from the University of Cambridge. I have a PhD in Statistics (1987) from the Department of Statistics, University of California, Berkeley. I used to work at the Department of Statistics, University of Michigan (1987-2006).

Books

I’ve written some books:

Linear Models with R - now translated to Python
Extending the Linear Model with R.
Bayesian Regression with INLA - here are some worked examples

Perhaps you have questions about the books?

Research

My research is on the interface between the theory and application of Statistics. I have worked on a wide range of statistical problems ranging over astronomy, athletics, concrete, cosmetics, fungicides, fuel filters, marketing of cars, obesity and schizophrenia. I have also served as a consultant to industry on statistical issues.

Here are my publications which can also be seen on my Google Scholar page.
Changes in peak river flows in Great Britain. Expect more flooding!
When small data beats big data. More is not always better.
Confidence bands for smoothness in nonparametric regression. You can read about why the standard confidence bands are not so helpful and look at some confidence bands for smoothness
Read about classifying light curves in astronomy
Does data splitting improve prediction? - yes, sometimes it does!
I work on shape change modelling for facial motion. This is being applied to children with cleft lip and palate and adults with facial paralysis
I’ve worked on functional data analysis for applications in ergonomics and biomechanics. These methods have been used in vehicle and workplace design.