| Generalized additive models: an introduction with R SN Wood Chapman and Hall/CRC, 2017 | 9219 | 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 | 2639 | 2011 |
| Thin plate regression splines SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2003 | 1282 | 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 | 1178 | 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, 1998 | 1133 | 1998 |
| Modelling and smoothing parameter estimation with multiple quadratic penalties SN Wood Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000 | 822 | 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 | 657 | 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 | 543 | 2008 |
| mgcv: GAMs and generalized ridge regression for R SN Wood R news 1 (2), 20-25, 2001 | 463 | 2001 |
| mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation S Wood | 414 | 2012 |
| 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 | 397 | 1999 |
| Statistical inference for noisy nonlinear ecological dynamic systems SN Wood Nature 466 (7310), 1102, 2010 | 361 | 2010 |
| Low‐rank scale‐invariant tensor product smooths for generalized additive mixed models SN Wood Biometrics 62 (4), 1025-1036, 2006 | 312 | 2006 |
| gamm4: Generalized additive mixed models using mgcv and lme4 S Wood, F Scheipl R package version 0.2-3, 2014 | 283 | 2014 |
| Practical variable selection for generalized additive models G Marra, SN Wood Computational Statistics & Data Analysis 55 (7), 2372-2387, 2011 | 229 | 2011 |
| 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 | 214 | 2016 |
| Habitat structure and population persistence in an experimental community SP Ellner, E McCauley, BE Kendall, CJ Briggs, PR Hosseini, SN Wood, ... Nature 412 (6846), 538, 2001 | 198 | 2001 |
| Coverage properties of confidence intervals for generalized additive model components G Marra, SN Wood Scandinavian Journal of Statistics 39 (1), 53-74, 2012 | 169 | 2012 |
| Correcting for variation in recording effort in analyses of diversity hotspots JR Prendergast, SN Wood, JH Lawton, BC Eversham Biodiversity Letters, 39-53, 1993 | 159 | 1993 |
| On p-values for smooth components of an extended generalized additive model SN Wood Biometrika 100 (1), 221-228, 2012 | 155 | 2012 |
Nicole AugustinSenior Lecturer in Statistics, University of BathDirección de correo verificada de bath.ac.uk
