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Simon Wood
Simon Wood
Statistics, School of Mathematics, University of Edinburgh, UK
Verified email at bath.edu - Homepage
Title
Cited by
Cited by
Year
Generalized additive models: an introduction with R
SN Wood
chapman and hall/CRC, 2017
200472017
Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models
SN Wood
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011
72052011
Thin plate regression splines
SN Wood
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003
27232003
Stable and efficient multiple smoothing parameter estimation for generalized additive models
SN Wood
Journal of the American Statistical Association 99 (467), 673-686, 2004
21922004
mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation
S Wood
1462*2012
Making mistakes when predicting shifts in species range in response to global warming
AJ Davis, LS Jenkinson, JH Lawton, B Shorrocks, S Wood
Nature 391 (6669), 783-786, 1998
14321998
Smoothing parameter and model selection for general smooth models
SN Wood, N Pya, B Säfken
Journal of the American Statistical Association 111 (516), 1548-1563, 2016
13292016
Package ‘mgcv’
S Wood, MS Wood
R package version 1 (29), 729, 2015
11062015
Modelling and smoothing parameter estimation with multiple quadratic penalties
SN Wood
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000
9652000
GAMs with integrated model selection using penalized regression splines and applications to environmental modelling
SN Wood, NH Augustin
Ecological modelling 157 (2-3), 157-177, 2002
9502002
Fast stable direct fitting and smoothness selection for generalized additive models
SN Wood
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008
8052008
Practical variable selection for generalized additive models
G Marra, SN Wood
Computational Statistics & Data Analysis 55 (7), 2372-2387, 2011
7882011
gamm4: Generalized additive mixed models using mgcv and lme4.
S Wood
R Packag. version 0.2-3, 2014
7702014
mgcv: GAMs and generalized ridge regression for R
SN Wood
R news 1 (2), 20-25, 2001
7642001
Statistical inference for noisy nonlinear ecological dynamic systems
SN Wood
Nature 466 (7310), 1102-1104, 2010
7042010
Low-rank scale-invariant tensor product smooths for generalized additive mixed models
SN Wood
Biometrics 62 (4), 1025-1036, 2006
6712006
Why do populations cycle? A synthesis of statistical and mechanistic modeling approaches
BE Kendall, CJ Briggs, WW Murdoch, P Turchin, SP Ellner, E McCauley, ...
Ecology 80 (6), 1789-1805, 1999
4861999
On p-values for smooth components of an extended generalized additive model
SN Wood
Biometrika 100 (1), 221-228, 2013
4082013
Generalized additive models for large data sets
SN Wood, Y Goude, S Shaw
Journal of the Royal Statistical Society Series C: Applied Statistics 64 (1 …, 2015
3912015
Coverage properties of confidence intervals for generalized additive model components
G Marra, SN Wood
Scandinavian Journal of Statistics 39 (1), 53-74, 2012
3562012
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