Simon Wood

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Roger M NisbetProfessor, Ecology, Evolution and Marine Biology, University of California, Santa BarbaraVerified email at lifesci.ucsb.edu
Bruce KendallProfessor of Environmental Science & Management, University of California, Santa BarbaraVerified email at bren.ucsb.edu
Nicole AugustinReader, University of EdinburghVerified email at bath.ac.uk
Stephen EllnerCornell UniversityVerified email at cornell.edu
Matteo FasioloLecturer in Statistical Science, University of BristolVerified email at bristol.ac.uk
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
Matthew ThomasUniversity of YorkVerified email at york.ac.uk
Giampiero MarraProfessor of Statistics, University College LondonVerified email at ucl.ac.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
David BorchersUniversity of St AndrewsVerified email at st-andrews.ac.uk
Harald BaayenProfessor of Quantitative Linguistics, University of TuebingenVerified email at uni-tuebingen.de
Raphael NedellecTalendVerified email at talend.com
Benjamin SäfkenCenter for Statistics and Campus Institute Data Science, Georg-August-University GöttingenVerified email at uni-goettingen.de
Florian HartigProfessor for Theoretical Ecology, University of RegensburgVerified email at ur.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 CRC press, 2017	12968	2017
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	4078	2011
Thin plate regression splines SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2003	1802	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	1572	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	1276	1998
Modelling and smoothing parameter estimation with multiple quadratic penalties SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000	890	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	793	2002
Fast stable direct fitting and smoothness selection for generalized additive models SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008	642	2008
mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation S Wood	588	2012
mgcv: GAMs and generalized ridge regression for R SN Wood R news 1 (2), 20-25, 2001	583	2001
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	567	2016
Statistical inference for noisy nonlinear ecological dynamic systems SN Wood Nature 466 (7310), 1102-1104, 2010	495	2010
Package ‘mgcv’ S Wood, MS Wood R package version 1, 29, 2015	463	2015
Low‐rank scale‐invariant tensor product smooths for generalized additive mixed models SN Wood Biometrics 62 (4), 1025-1036, 2006	454	2006
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
gamm4: Generalized additive mixed models using mgcv and lme4 S Wood, F Scheipl R package version 0.2-3, URL http://CRAN. R-project. org/package= gamm4, 2014	411	2014
Practical variable selection for generalized additive models G Marra, SN Wood Computational Statistics & Data Analysis 55 (7), 2372-2387, 2011	370	2011
Coverage properties of confidence intervals for generalized additive model components G Marra, SN Wood Scandinavian Journal of Statistics 39 (1), 53-74, 2012	231	2012
On p-values for smooth components of an extended generalized additive model SN Wood Biometrika 100 (1), 221-228, 2013	229	2013
Generalized additive models for large data sets SN Wood, Y Goude, S Shaw Journal of the Royal Statistical Society: Series C: Applied Statistics, 139-155, 2015	226	2015

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