In statistics, an additive model (AM) is a nonparametric regression method. It was suggested by Jerome H. Friedman and Werner Stuetzle (1981)[1] and is an essential part of the ACE algorithm. The AM uses a one-dimensional smoother to build a restricted class of nonparametric regression models. Because of this, it is less affected by the curse of dimensionality than a p-dimensional smoother. Furthermore, the AM is more flexible than a standard linear model, while being more interpretable than a general regression surface at the cost of approximation errors. Problems with AM, like many other machine-learning methods, include model selection, overfitting, and multicollinearity.
^Friedman, J.H. and Stuetzle, W. (1981). "Projection Pursuit Regression", Journal of the American Statistical Association 76:817–823. doi:10.1080/01621459.1981.10477729
In statistics, an additivemodel (AM) is a nonparametric regression method. It was suggested by Jerome H. Friedman and Werner Stuetzle (1981) and is an...
In statistics, a generalized additivemodel (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth...
In statistics, functional additivemodels (FAM) can be viewed as extensions of generalized functional linear models where the linearity assumption between...
color mixing models, depending on the relative brightness of the resultant mixture: additive, subtractive, and average. In these models, mixing black...
an arithmetic concept Additive color, as opposed to subtractive color Additivemodel, a statistical regression modelAdditive synthesis, an audio synthesis...
combination of primary colors can be predicted by an appropriate mixing model (e.g., additive, subtractive) that reflects the physics of how light interacts with...
Additive color or additive mixing is a property of a color model that predicts the appearance of colors made by coincident component lights, i.e. the perceived...
The RGB color model is an additive color model in which the red, green and blue primary colors of light are added together in various ways to reproduce...
the partitioning of sums of squares, experimental techniques and the additivemodel. Laplace was performing hypothesis testing in the 1770s. Around 1800...
each next base model on the up-weighted errors of the previous base model’s errors, producing an additivemodel to reduce the final model errors — also...
is a purplish-red color. On color wheels of the RGB (additive) and CMY (subtractive) color models, it is located precisely midway between blue and red...
multilevel models and as mixed model. In general, fitting GLMMs is more computationally complex and intensive than fitting GEEs. Generalized additivemodels (GAMs)...
statistical model developed by Jerome H. Friedman and Werner Stuetzle that extends additivemodels. This model adapts the additivemodels in that it first...
functional additivemodels are three special cases of functional nonlinear models. Functional linear models (FLMs) are an extension of linear models (LMs)...
3D printing or additive manufacturing is the construction of a three-dimensional object from a CAD model or a digital 3D model. It can be done in a variety...
models, functional single and multiple index models and functional additivemodels are three special cases of functional nonlinear regression models....
an additivemodel can be thought of as y t = T t + C t + S t + I t , {\displaystyle y_{t}=T_{t}+C_{t}+S_{t}+I_{t},} whereas a multiplicative model would...
Additive synthesis example A bell-like sound generated by additive synthesis of 21 inharmonic partials Problems playing this file? See media help. Additive...
and white light minus blue leaves yellow. In additive color models, such as RGB, white is the "additive" combination of all primary colored lights, and...
Visscher & Wray 2015, "Concepts and Misconceptions about the Polygenic AdditiveModel Applied to Disease", Hilker et al. 2017, "Heritability of schizophrenia...
framework. Specifically, if one considers AdaBoost as a generalized additivemodel and then applies the cost function of logistic regression, one can derive...
a model". Omega. 44 (C): 1–4. doi:10.1016/j.omega.2013.09.004. Cooper, William Wager; Seiford, Lawrence; Zhu, Joe (2000). "A unified additivemodel approach...
fit a generalized additivemodel. It was introduced in 1985 by Leo Breiman and Jerome Friedman along with generalized additivemodels. In most cases, the...
partitioning that allows for continuous models, which can provide a better fit for numerical data. Generalized additivemodels. Unlike MARS, GAMs fit smooth loess...
In statistics, additive smoothing, also called Laplace smoothing or Lidstone smoothing, is a technique used to smooth count data, eliminating issues caused...
Tibshirani, R. J. (1990). Generalized AdditiveModels. London:Chapman and Hall. Wood, S. N. (2017). Generalized AdditiveModels: An Introduction with R (second ed...
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