Ian L. Dryden
From August 12th, 2021 please use the following email address at Florida International University:
e-mail: Ian -DOT- Dryden -AT- fiu -DOT- edu
Mail: Department of Mathematics and Statistics,
11200 SW 8th Street, DM 403B,
Miami, FL 33199, USA.
Shape analysis; object data analysis; manifold-valued data analysis;
high-dimensional data analysis; image analysis and applications of statistics.
MATH3026 Time Series Analysis
MATH4022 Time Series and Forecasting
MATH4001 MMath Dissertation
MATH4021 MSc Statistics Dissertation
May 14th, 2021. Paper accepted to appear in Annals of Applied Statistics :
Manifold valued data analysis of samples of networks, with applications in corpus linguistics with
Katie Severn, Simon P. Preston
March 31, 2021. R package version 1.2.6 available on CRAN: shapes.
January 20, 2021. Paper accepted to appear in Stat :
Non-parametric regression for networks with Katie Severn and Simon Preston
September 15, 2020. Paper accepted to appear in Journal of the Royal Statistical Society, Series B :
Smoothing splines on Riemannian manifolds, with applications to 3D shape space
with Kwang-Rae Kim, Huiling Le and Katie Severn
October 27th, 2020. Paper on arXiv
The Bayesian Spatial Bradley--Terry Model: Urban Deprivation Modeling in Tanzania with Rowland Seymour, David Sirl, Simon Preston, Madeleine Ellis, Bertrand Perrat and James Goulding.
Jun 10, 2019. Paper accepted to appear in Annals of Applied Statistics : Principal nested shape space analysis of molecular dynamics data
I am a Professor of Statistics with 30 years research experience, and my main area of research is the development of statistical methodology in highly-structured data analysis, including shapes, images and functional data. I obtained my 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 served as Head of School of Mathematical Sciences, University of Nottingham from 2014-2018.
I have published about 150 articles, and my joint book on Statistical Shape Analysis has about 5300 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, NERC, 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
Tony Spencer FRS Memorial Lecture 2018
Data Driven Discovery Research Priority Area
Royal Society Unconscious Bias video