Lin and Zhang (J. Roy. Statist. Soc. Ser. B 61 (1999) 381) proposed the generalized additive mixed model (GAMM) as a framework for analysis of correlated data, where normally distributed random effects are used to account for correlation in the data, and proposed to use double penalized ...
Generalized Additive Models:广义加性模型 热度: GeneralizedAdditiveMixedModels Initialdata-exploratoryanalysisusingscatterplotsindicatedanonlineardependenceoftheresponseonpredictorvariables.Toovercomethesedifficulties,HastieandTibshirani(1990)proposedgeneralizedadditivemodels(GAMs).GAMsareextensionsofgeneralizedlinearmodels(GLMs...
Generalizedadditivemixedmodels Generalized Additive Mixed Models Initial data-exploratory analysis using scatter plots indicated a non linear dependence of the response on predictor variables. To overcome these difficulties, Hastie and Tibshirani (1990) proposed generalized additive models (GAMs). GAMs are ...
GAMI-Net: Generalized Additive Models with Structured Interactions generalized-additive-modelsexplainable-aipairwise-interactionsself-explanatory-ml UpdatedMay 13, 2022 Python LCBC-UiO/galamm Star29 Code Issues Pull requests An R package for estimating generalized additive mixed models with latent variables...
Generalized Additive Models Hastie And Tibshirani 1990 in Generalized Linear Mixed Models:广义线性混合模型 A Nonlinear Generalized Additive Error Model of Production and Cost(生产和成本的非线性广义加性误差模型) Generalized Additive Models with Spatio-temporal Data (Generalized) Linear Mixed Models:(广义)...
M. Tamminga, C. Ahern, and A. Ecay, "Generalized additive mixed models for intraspeaker variation," Linguistics Vanguard, vol. 2, no. s1, 2016.Tamminga, Meredith, Christopher Ahern & Aaron Ecay. 2016. Generalized additive mixed models for intraspeaker variation. Linguistics Vanguard 2(s1). ...
Generalized additive mixed models (GAMMs) extend generalized linear mixed models (GLMMs) to allow the covariates to be nonparametrically associated with the response. Estimation of such models for correlated binary data is challenging and estimation techniques often yield contrasting results. Via ...
In this paper, we model river discharge data from the Black Volta River, using Generalised Additive Mixed Models (GAMMs) with a space-time interaction represented via a tensor product of continuous time and discrete space. River discharge data from January 2000 to December 2009 for the four ...
MetalsRoadside soilGeneralized additive mixed models (GAMMs)Environmental factorsAssessing metal concentrations in roadside soils requires a better understanding of the extent to which they are affected by different environmental factors such as soil texture, depth, pH, runoff concentration, and precipitation...
In this paper, we model river discharge data from the Black VoltaRiver, using Generalised Additive Mixed Models (GAMMs) with a space-timeinteraction represented via a tensor product of continuous time and discretespace. River discharge data from January 2000 to December 2009 for the fourgauge ...