Additive Models for Regression, Generalized Additive Models, etc.
Last update: 05 Dec 2024 11:17
Yet Another Inadequate Placeholder, because I don't feel like re-writing a chapter from my textbook. (See below.)
- Recommended, big picture:
- Andreas Buja, Trevor Hastie and Robert Tibshirani, "Linear smoothers and additive models", Annals of Statistics 17 (1989): 453--510 [A classic additive models paper. The discussions and reply fill pp. 510--555.]
- Simon N. Wood, Generalized Additive Models: An Introduction with R
- Recommended, close-ups:
- Markus Abel, Karsten Ahnert, Jürgen Kurths and Simon Mandelj, "Additive nonparametric reconstruction of dynamical systems from time series", Physical Review E 71 (2005): 015203
- Azadeh Alimadad and Matias Salibian-Barrera, "An Outlier-Robust Fit for Generalized Additive Models with Applications to Disease Outbreak Detection", Journal of the American Statistical Association 106 (2011): 719--731
- Tianjiao Chu and Clark Glymour, "Search for Additive Nonlinear Time Series Causal Models", Journal of Machine Learning Research 9 (2008): 967--991
- Jianqing Fan and Qiwei Yao, Nonlinear Time Series: Nonparametric and Parametric Methods [Has a good treatment of additive autoregression models, among many other topics]
- Lukas Meier, Sara van de Geer and Peter Bühlmann, "High-Dimensional Additive Modeling", Annals of Statistics 37 (2009): 3779--3821, arxiv:0806.4115
- Pradeep Ravikumar, John Lafferty, Han Liu, Larry Wasserman, "Sparse Additive Models", Journal of the Royal Statistical Society B 71 (2009): 1009--1030, arxiv:0711.4555 [a.k.a. "SpAM"]
- Simon N. Wood, "Stable and efficient multiple smoothing parameter estimation for generalized additive models", Journal of the American Statistical Association 99 (2004): 673--686 [PDF reprint via Prof. Wood]
- Recommended, historical:
- Mordecai Ezekiel, "A Method of Handling Curvilinear Correlation for Any Number of Variables", Journal of the American Statistical Association 19 (1924): 431--453 [JSTOR. The oldest publication I have found introducing and advocating additive, as opposed to linear, regression models. The estimation procedure Ezekiel uses is even almost the same as modern "back-fitting", but will get into trouble with correlated input variables.]
- Modesty forbids me to recommend:
- The chapter on additive models in Advanced Data Analysis from an Elementary Point of View
- To read:
- Chun-Hao Chang, Sarah Tan, Ben Lengerich, Anna Goldenberg, Rich Caruana, "How Interpretable and Trustworthy are GAMs?", arxiv:2006.06466
- Christophe Chesneau, Jalal Fadili, Bertrand Maillot, "Adaptive estimation of an additive regression function from weakly dependent data", arxiv:1111.3994
- Andreas Christmann and Robert Hable, "Support vector machines for additive models: consistency and robustness", arxiv:1007.4062
- Elise Dusseldorp, Claudio Conversano, and Bart Jan Van Os, "Combining an Additive and Tree-Based Regression Model Simultaneously: STIMA", Journal of Computational and Graphical Statistics (2010) forthcoming
- Karl Gregory, Enno Mammen, Martin Wahl, "Statistical inference in sparse high-dimensional additive models", Annals of Statistics 49 (2021): 1514--1536, arxiv:1603.07632
- Hong Gu, Toby Kenney, Mu Zhu, "Partial Generalized Additive Models: An Information-Theoretic Approach for Dealing With Concurvity and Selecting Variables", Journal of Computational and Graphical Statistics 19 (2010): 531--551
- Benjamin Guedj, Pierre Alquier, "PAC-Bayesian Estimation and Prediction in Sparse Additive Models", arxiv:1208.1211
- Jian Huang, Joel L. Horowitz, and Fengrong Wei, "Variable selection in nonparametric additive models", Annals of Statistics 38 (2010): 2282--2313
- Jiancheng Jiang, Yingying Fan and Jianqing Fan, "Estimation in additive models with highly or nonhighly correlated covariates", Annals of Statistics 38 (2010): 1403--1432, arxiv:1010.0320
- Randy C. S. Lai, Hsin-Cheng Huang, and Thomas C. M. Lee, "Fixed and random effects selection in nonparametric additive mixed models", Electronic Journal of Statistics 6 (2012): 810--842
- Andreas Mayr, Nora Fenske, Benjamin Hofner, Thomas Kneib, Matthias Schmid, "Generalized additive models for location, scale and shape for high dimensional data: A flexible approach based on boosting", Journal of the Royal Statistical Society C forthcoming
- Juhyun Park and Burkhardt Seifert, "Local additive estimation", Journal of the Royal Statistical Society B 72 (2010): 171--191, arxiv:0806.0612
- Veeranjaneyulu Sadhanala and Ryan J. Tibshirani, "Additive models with trend filtering", Annals of Statistics 47 (2019): 3032--3068
- Simon N. Wood, "Fast stable direct fitting and smoothness selection for Generalized Additive Models", arxiv:0709.3906
- Yingcun Xia, "A Note on the backfitting estimation of additive models", arxiv:0903.3470
- Lan Xue, Annie Qu, Jianhui Zhou, "Consistent Model Selection for Marginal Generalized Additive Model for Correlated Data", Journal of the American Statistical Association forthcoming
- Takuma Yoshida, Kanta Naito, "Asymptotics for penalized splines in generalized additive models", arxiv:1208.3920
- Kyusang Yu, Byeong U. Park, Enno Mammen, "Smooth backfitting in generalized additive models", Annals of Statistics 36 (2008): 228--260, arxiv:0803.1922