The Laplace approximation is sometimes not sufficiently accurate for smoothing parameter estimation in generalized additive mixed models. A novel estimation strategy is proposed that solves this problem and leads to estimates exhibiting the correct statistical properties.Alex StringerStatistics & Probability Letters
We adopted a systematic approach using generalized additive mixed models (GAMM) to capture complex relationships between explanatory variables and nitrate concentrations within each catchment and across all catchments. We found no clear relationship between source N loadings and stream water nitrate ...
Generalized Additive Models:广义加性模型 热度: GeneralizedAdditiveMixedModels Initialdata-exploratoryanalysisusingscatterplotsindicatedanonlineardependenceoftheresponseonpredictorvariables.Toovercomethesedifficulties,HastieandTibshirani(1990)proposedgeneralizedadditivemodels(GAMs).GAMsareextensionsofgeneralizedlinearmodels(GLMs...
While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in ...
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 covariates on movement probabilities. All the models had ...
An R package for estimating generalized additive mixed models with latent variables latent-variable-modelshierarchical-modelsgeneralized-additive-modelsitem-response-theorystructural-equation-models UpdatedSep 22, 2024 C++ Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia ...
(Generalized) Linear Mixed Models:(广义)线性混合模型 Generalized Additive Models for Location Scale and Shape (GAMLSS) in R generalized additive models for data with concurvity statistical issues and a novel model fitting approach Generalized Additive Model - University of Minnesota Duluth:广义可加模型...
Generalized Additive Models 作者: T·J·Hastie / R·J·Tibshirani 出版社: Chapman and Hall/CRC出版年: 1990-6-1页数: 352定价: USD 125.95装帧: Hardcover丛书: Monographs on Statistics and Applied ProbabilityISBN: 9780412343902豆瓣评分 评价人数不足 ...
前文提到加性模型可描述为多元回归的非参数化平滑回归形式,并举例介绍了一般加性模型(general additive model)。在一般加性模型中,假定响应变量Y服从正态分布,自变量X和响应变量Y的条件均值之间的关系可简单表示为: 式中fn(X)是未指明的函数,需要非参数式地予以估计,“非参数”一词反映了函数fn(X)不是用参数来...
5 Additive Mixed Models Additive mixed models (or semi-parametric mixed models) provide a general framework for estimating potentially nonlinear regression components as well as accommodating spatial-temporal correlations. This description is not explicit as it is often meant to encompass models with ran...