Dr Paul Hewson
Profiles

Dr Paul Hewson

Associate Professor (Senior Lecturer) in Statistics

School of Computing, Electronics and Mathematics (Faculty of Science and Engineering)

Role

Associate Professor (Senior Lecturer) in Statistics

Careers and Employability Tutor

Qualifications

2005: University of Exeter, PhD in Statistics

1998: Sheffield Hallam University, MSc in Applied Statistics

1988: Plymouth Polytechnic, BSc (hons) First Class in Biological Sciences

Professional membership

Fellow of (2007) / Registered Practitioner of (2006) the Higher Education Academy

2012 National Teaching Fellow (Higher Education Academy)

Teaching interests

Currently I am involved in teaching first year Probability and Applications as well as final year Stochastic Calculus. i also tend to find myself teaching non-maths students introductory statistical methods.

In 2012 I was awarded a National Teaching Fellowship. I have taught at the African Institute of Mathematical Sciences and have taught from 2007 to 2014 at the University of Bologna.

Research interests

I am interested in generalised linear mixed models (GLMM), particulary for multivariate responses. These models could be considered as a vector of GLMs with the the assumption that there is an underlying multivariate normal random effect. There are a number of ways of approaching these models, I have tended to focus on Bayesian approaches, and have tended to use MCMC. There seem to be two routes to the multivariate normal distribution, one involves a Wishart prior for the multivariate random effects the alternative is to envisage a latent structure with a smaller number of latent variables and a matrix of loading variables which effect a transformation of the latent variables into the higher dimensionality of the response variables. Most of my recent effort has gone into these latent structure models with a view to superimposing a discrete mixing structure, in particular this seems to yield a good method for unsupervised classfication of multivariate count data. However, there seem to be many possibilities to use latent variables with application specific structures, such as having Conditionally Autoregressive Priors, or temporally correlated sets of latent variables or even to allow for spatial structuring.


My publications are listed by Google Scholar https://scholar.google.co.uk/citations?user=PthQLNEAAAAJ&hl=en

Research degrees awarded to supervised students

Golnaz Shahtahmassebi (2012)

Muhannad Al-Saadony (2013)

Other academic activities

Additional information

If you want to check any signed emails, my public key is here:

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Links

Multivariate Statistics with R (work in Progress)

A course I taught at the African Institute of Mathematical Sciences

My entry on academia.edu (has some teaching materials posted)

My "engaging researcher" profile

CRAN task view: Multivariate Statistics

University of Plymouth Statistics Group

http://www.biomedexperts.com

Linked-In profile

http://www.cvr.cc/pdfpagediff/

The Wild Wild


http://www.tmsconsultancy.co.uk/news/tms-news/academics-and-practitioners-share-ideas-on-road-user-behaviour