Professor Ian L. Dryden
Professor of Statistics,
School of Mathematical Sciences,
The University of Nottingham,
NG7 2RD, United Kingdom.
Office: Room B09, Mathematical Sciences Building, University Park.
[Building 20 on this map]
Telephone: 0115 - 846 7412 (International +44 115 - 846 7412)
e-mail: Ian -DOT- Dryden -AT- Nottingham -DOT- ac -DOT uk
Shape analysis; object data analysis; manifold-valued data analysis;
high-dimensional data analysis; image analysis and applications of statistics.
MATH3030 Multivariate Analysis
MATH4068 Applied Multivariate Statistics
MATH3026 Time Series Analysis
MATH4022 Time Series and Forecasting
MATH4001 MMath Dissertation
MATH4021 MSc Statistics Dissertation
May 13, 2019. Revised paper on arXiv
Smoothing splines on Riemannian manifolds, with applications to 3D shape space
with Kwang-Rae Kim and Huiling Le.
March 22, 2019. Paper on arXiv:
Principal nested shape space analysis of molecular dynamics data
with Kwang-Rae Kim, Charles A. Laughton, Huiling Le
February 21, 2019. Paper on arXiv:
Manifold valued data analysis of samples of networks, with applications in corpus linguistics with
Katie Severn, Simon P. Preston
August 18, 2018. R package version 1.2.4 available shapes.
I am a Professor of Statistics with 30 years research experience, and my main area of study has been the development of statistical methodology in highly-structured data analysis, including shapes, images and functional data. I obtained by PhD from the University of Leeds in 1989 and I have taught and carried out research at the University of Nottingham, University of South Carolina, University of Leeds and University of Chicago. I was Head of School of Mathematical Sciences, University of Nottingham from 2014-2018. I have published over 140 articles, and my joint book on Statistical Shape Analysis has about 4500 citations (Google Scholar). I have given many invited presentations worldwide, and was co-organiser of a year-long programme on the Analysis of Object Data at SAMSI, North Carolina. I have been PI/Co-I of more than £15 million in grants from EPSRC, BBSRC, Leverhulme Trust, Royal Society, Innovate UK and NSF. I am an elected Fellow of the Institute of Mathematical Statistics, and was awarded a Royal Society Wolfson Research Merit Award (2012-2017).
CV (including full publications list, teaching & learning information and administration)
Dryden, I.L. and Mardia, K.V. (2016). Statistical
Shape Analysis, with Applications in R. Second Edition John Wiley and Sons, Chichester. 454 + xxiii pages.
Dryden, I.L. and Kent, J.T. (2015) (editors). Geometry Driven Statistics John Wiley and Sons, Chichester. 394
+ xviii pages.
Dryden, I. L. and Mardia, K. V. (1998). Statistical Shape Analysis. John Wiley and Sons, Chichester. 347 + xvii
Google Scholar Profile
Official School webpage
Very basic introduction to R
Shape and Image Analysis course
Data Driven Discovery Research Priority Area
Royal Society Unconscious Bias video