Simon Wood

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Roger M NisbetProfessor, Ecology, Evolution and Marine Biology, University of California, Santa BarbaraVerified email at lifesci.ucsb.edu
Nicole AugustinReader, University of EdinburghVerified email at bath.ac.uk
Matteo FasioloLecturer in Statistical Science, University of BristolVerified email at bristol.ac.uk
Bruce KendallProfessor of Environmental Science & Management, University of California, Santa BarbaraVerified email at bren.ucsb.edu
Stephen EllnerCornell UniversityVerified email at cornell.edu
Cheryl J. BriggsProfessor of Ecology, Evolution and Marine Biology, UCSBVerified email at lifesci.ucsb.edu
W.S.C. GurneyMathematics and Statistics, University of StrathclydeVerified email at dullatur.myzen.co.uk
Fabian ScheiplLMU Munich / Munich Center for Machine LearningVerified email at stat.uni-muenchen.de
Yannig GoudeEDF R&D, Université Paris-SudVerified email at edf.fr
Giampiero MarraProfessor of Statistics, University College LondonVerified email at ucl.ac.uk
Matthew ThomasUniversity of YorkVerified email at york.ac.uk
Harald BaayenProfessor of Quantitative Linguistics, University of TuebingenVerified email at uni-tuebingen.de
David BorchersUniversity of St AndrewsVerified email at st-andrews.ac.uk
Raphael NedellecTalendVerified email at talend.com
Florian HartigProfessor for Theoretical Ecology, University of RegensburgVerified email at ur.de
Benjamin SäfkenCenter for Statistics and Campus Institute Data Science, Georg-August-University GöttingenVerified email at uni-goettingen.de
Jacolien van RijUniversity of Groningen, The NetherlandsVerified email at rug.nl

Simon Wood

Statistics, School of Mathematics, University of Edinburgh, UK

Verified email at bath.edu - Homepage

Statistics Statistical Computing Ecology Ecological dynamics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generalized additive models: an introduction with R SN Wood chapman and hall/CRC, 2006	14609	2006
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	4691	2011
Thin plate regression splines SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2003	2009	2003
Stable and efficient multiple smoothing parameter estimation for generalized additive models SN Wood Journal of the American Statistical Association 99 (467), 673-686, 2004	1716	2004
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	1315	1998
Modelling and smoothing parameter estimation with multiple quadratic penalties SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000	913	2000
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	837	2002
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	712	2016
mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation S Wood	673	2012
Fast stable direct fitting and smoothness selection for generalized additive models SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008	673	2008
mgcv: GAMs and generalized ridge regression for R SN Wood R news 1 (2), 20-25, 2001	606	2001
Package ‘mgcv’ S Wood, MS Wood R package version 1 (29), 729, 2015	592	2015
Statistical inference for noisy nonlinear ecological dynamic systems SN Wood Nature 466 (7310), 1102-1104, 2010	545	2010
Low‐rank scale‐invariant tensor product smooths for generalized additive mixed models SN Wood Biometrics 62 (4), 1025-1036, 2006	510	2006
gamm4: Generalized additive mixed models using mgcv and lme4 S Wood, F Scheipl R package version 0.2-3, 2014	496	2014
Practical variable selection for generalized additive models G Marra, SN Wood Computational Statistics & Data Analysis 55 (7), 2372-2387, 2011	455	2011
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	443	1999
On p-values for smooth components of an extended generalized additive model SN Wood Biometrika 100 (1), 221-228, 2013	274	2013
Mixed GAM computation vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL S Wood R package version, 1.8-23, 2018	270	2018
Generalized additive models for large data sets SN Wood, Y Goude, S Shaw Journal of the Royal Statistical Society: Series C (Applied Statistics) 64 …, 2015	260	2015

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