Mathematical Sciences,
University of Bath,
Bath, BA2 7AY UK; +44 (0)1225 386603;
s.wood _at_ bath.ac.uk
Apologies if I have not replied to you on an mgcv related query: I've got
rather behind on mgcv email, especially on the interesting stuff that
requires thought.
I work as a professor of statistics at the university of Bath. I have two
main research interests.
Smoothing. In particular methods
for generalized additive modelling and applications of generalized
additive models (GAMs). I am especially interested in smoothness
selection, and low rank spline smoothing, and have written an R package called
mgcv
which implements GAMs. Some recent example smoothing papers are
Wood, SN (2008) Fast stable direct fitting and smoothness
selection
for Generalized Additive Models. JRSSB 70(3), 495-518.
Wood, SN, MV Bravington and SL Hedley (2008) Soap film
smoothing. JRSSB, 70(5), 931-955.
Wood, SN (in press) Fast stable restricted maximum likelihood and
marginal likelihood estimation of semiparametric generalized linear
models. JRSSB.
Statistical Ecology. In particular using ecological dynamic
models as
statistical models to help understand ecological mechanisms, and
ecological applications of nonlinear random effects models and smooth
models, as part of NCSE. Some recent
example statistical ecology papers are
Low, C, SN Wood and RM Nisbet (2009) The effects of group size,
leaf size, and density on the performance of a leaf-mining moth.
Journal
of Animal Ecology 78(1): 152-160
Augustin, NH, M Musio, K von Wilpert, E Kublin, SN Wood, and M
Schumacher (2009) Modelling spatio-temporal forest health monitoring
data. JASA 104, 899-911.
Wood SN (2010) Statistical inference for noisy nonlinear
ecological dynamic systems. Nature 466(26): 1102-1104.
A fuller list of papers is here (home-made
version with added mistakes here.).
In 2006 I published a book called
Generalized Additive Models: An Introduction with R , which explains
the smooth modelling part of my work in some detail.
Postdoctoral research position: I am interested in
hearing from postdoctoral researchers with an
interest in statistics and population dynamics for an upcoming
postdoctoral project with the national
centre
for statistical ecology .
I am currently advising three PhD students:
Natalya Pya, works on monotonic and other shape preserving smoothing.
Giampiero Marra
works on inference and model selection with generalized additive models,
and econometric applications.
I am interested in taking on new PhD students for topics in smoothing and
generalized additive modelling, and in statistics for ecological dynamic
models. (The department has funding available for good EU/UK students,
and, exceptionally, for students from outside the EU).
Here is a selection of talks. It's not exhaustive, but hopefully gives
some idea of what I work on.
