In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth...

Robert Tibshirani (1989). Generalized additive model Backfitting algorithm Projection pursuit regression Generalized additive model for location, scale, and...

In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing...

The generalized additive model for location, scale and shape (GAMLSS) is a semiparametric regression model in which a parametric statistical distribution...

In statistics, a functional additive model (FAM) can be viewed as an extension of a generalized functional linear model where the linearity assumption...

class of vector generalized linear models (VGLMs) was proposed to enlarge the scope of models catered for by generalized linear models (GLMs). In particular...

Errors-in-variables model Instrumental variables regression Quantile regression Generalized additive model Autoregressive model Moving average model Autoregressive...

statistical framework. Specifically, if one considers AdaBoost as a generalized additive model and then applies the cost function of logistic regression, one...

The generalized functional linear model (GFLM) is an extension of the generalized linear model (GLM) that allows one to regress univariate responses of...

analysis (ENFA) Mahalanobis distance Isodar analysis Generalized linear model (GLM) Generalized additive model (GAM) Multivariate adaptive regression splines...

architecture mapping, in computational biology General Aggression Model Generalized additive model Global Acute Malnutrition Gravity-assisted microdissection...

used to fit a generalized additive model. It was introduced in 1985 by Leo Breiman and Jerome Friedman along with generalized additive models. In most cases...

Tibshirani (1990), Generalized additive models, CRC Press, (p. 54) and (eq.(B.1), p. 305)) Simon N. Wood (2006), Generalized additive models: an introduction...

comparing modelled and observed counts General linear model Generalizability theory Generalized additive model Generalized additive model for location...

and Generalized Linear Models: A roughness penalty approach. Chapman and Hall. Hastie, T. J.; Tibshirani, R. J. (1990). Generalized Additive Models. Chapman...

sum of the squared errors (a least squares criterion). Additive model Generalized additive model Smoothing "Scatter Plot". Dodge, Y. (2006) The Oxford...

models with the addition of 'Overall Feature Importance' and 'Generalized Additive Models'. When there are several variables that contribute to the overall...

with other boosting methods, a gradient-boosted trees model is built in stages, but it generalizes the other methods by allowing optimization of an arbitrary...

Design for additive manufacturing (DfAM or DFAM) is design for manufacturability as applied to additive manufacturing (AM). It is a general type of design...

regression, kernel density estimation, artificial neural networks and generalized additive models. Though computational statistics is widely used today, it actually...

Vinciotti, Veronica; Yu, Keming (2018-09-25). "Discrete Weibull Generalized Additive Model: An Application to Count Fertility Data". Journal of the Royal...

matrices Backfitting algorithm — iterative procedure used to fit a generalized additive model, often equivalent to Gauss–Seidel Modified Richardson iteration...

statistical model developed by Jerome H. Friedman and Werner Stuetzle that extends additive models. This model adapts the additive models in that it first...

variance Factorial experiment Generalized randomized block design Linear model Main effect Tukey's test of additivity Dodge, Y. (2003). The Oxford Dictionary...

EM and k-means clustering, classification & regression trees, generalized additive models, independent component analysis, stochastic gradient boosted...

book}}: CS1 maint: multiple names: authors list (link) Hastie, T.J. and Tibshirani, R.J. (1990), Generalized Additive Models, New York: Chapman and Hall....

partitioning that allows for continuous models, which can provide a better fit for numerical data. Generalized additive models. Unlike MARS, GAMs fit smooth loess...

understanding how an AI model arrives at a given result. Techniques such as partial dependency plots, SHAP (SHapley Additive exPlanations), and feature...

PMID 17465152. Urquhart, J.P; Olson, D.B; Babcock, E.A (2023). "Generalized additive models for categorical count data: An exploration of the decline of...

regression and Cox's proportional hazard model. Hastie, T. J.; Tibshirani, R. J. (1990). Generalized Additive Models. Chapman & Hall/CRC. ISBN 978-0-412-34390-2...