GAMM是一种灵活而强大的统计建模方法,它结合了广义可加模型(Generalized Additive Model, GAM)和混合效应模型(Mixed Effects Model)。通过引入非线性平滑函数和随机效应,GAMM能够更准确地描述变量之间的复杂关系,并考虑到数据中可能存在的随机变异。 本文将详细介绍GAMM的理论基础、模型框架和参数估计方法。同时,我们还将...
1.It is possible to construct thegeneralized mixed modelof fractured rockmass by combin.简述了裂隙岩体渗流离散模型与等效连续模型的优缺点,提出裂隙单元与岩体单元交界面上水头连续而允许流量不连续的观点,通过裂隙单元和岩体单元传导矩阵的组装,建立了三维裂隙岩体渗流广义混合模型。 3)generalized additive models广...
A mixed effects additive model along with a data-driven cross validation model selection method is applied to model the mean indoor radon concentration of dwellings in Austria. For this model a prediction approach is introduced, which enables the mapping of indoor radon potential to identify radon ...
be more appropriate. In the present study, observations were collected from the same individuals over time. It is reasonable to assume that correlations exist among the observations from the same individual, so we utilized generalized additive mixed models (GAMM) to investigate the effects of ...
GeneralizedAdditiveMixedModels Initialdata-exploratoryanalysisusingscatterplotsindicatedanonlineardependenceoftheresponseonpredictorvariables.Toovercomethesedifficulties,HastieandTibshirani(1990)proposedgeneralizedadditivemodels(GAMs).GAMsareextensionsofgeneralizedlinearmodels(GLMs)inwhichalinkfunctiondescribingthetotalexplainedvaria...
data-science machine-learning statistics regression statistical-models generalized-additive-models Updated Aug 5, 2024 Julia LCBC-UiO / galamm Star 27 Code Issues Pull requests An R package for estimating generalized additive mixed models with latent variables latent-variable-models hierarchical-mode...
The last decade has seen interesting new approaches to estimation of generalized additive models, and the development of a mixed effects framework for these models. Keywords: iteratively reweighted least squares; generalized cross validation; nonparametric regression; spline smoothers; mixed effects models ...
This article studies model averaging for linear mixed-effects models. We establish an unbiased estimator of the squared risk for the model averaging, and u... X Zhang,G Zou,H Liang - 《Biometrika》 被引量: 35发表: 2014年 Model averaging for semiparametric additive partial linear models To im...
An additive mixed model as we employ here can be written as yit = α+ x1itβ1 + …+xkitβk + s1(x(k+ 1)it)+s2(x(k+ 2)it)+…+vit for i = 1,…,21 locations, t = 1951,… ,2005 and v ∼ N(0,σ2Λ). s() means that the term is estimated nonparametrically. Many ...
This chapter is devoted to Generalized Additive Models (GAMs) which keep the additive decomposition of the score but allow the actuary to discover nonlinear effects of features like policyholder’s age or place of residence (geographic effect), for instance. Contrarily to the prior categorization of...