functional additive mixed modelFunctional datafunctional principal componentsGAMLSSgradient boostingpenalized splinesResearchers are increasingly interested in regression models for functional data. This article discusses a comprehensive framework for additive (mixed) models for functional responses and/o...
Smoothing Parameter Selection for a Class of Semiparametric Linear Models Source: Journal of the Royal Statistical Society Series B (Statistical Methodology) Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors Source: Journal of the Royal Statistical Society Series ...
We recommend both “Mixed effects models and extensions in ecology with R” by Alain Zuur (Zuur et al., 2009) and “Generalized additive models: An introduction with R” by Simon Wood (Wood, 2017) for more examples, code, and information on analyzing data with a GAM. In sum, we note...
We started by fitting General Additive Models (GAMs), which can parsimoniously accommodate possible non-linear effects and interactions. Errors were analyzed using logistic mixed models (suited to estimate the error rate), and RTs of correct responses were analyzed using an ex-Gaussian family with ...
The entire process leads to the development of the general linear mixed models. The ML estimates, the REML estimates, and the method-of-moment estimators are used to estimate the regression parameters in general linear mixed models. In addition, the general linear mixed models not only provide ...
Zhu L, Zhao H, Sun J, Leisenring W, Robison LL (2015) Regression analysis of mixed recurrent-event and panel-count data with additive rate models. Biometrics 71(1):71–79 Article MathSciNet MATH Google Scholar Zhu L, Zhang Y, Li Y, Sun J, Robison LL (2018) A semiparametric likelih...
models were stratified on sex to address a potential gender-specific association; 4) the final multivariable models were stratified on cohort to address the robustness of the findings to the multicentre study design; 5) the linearity of the associations was tested using a Generalized Additive Model...
GP and SHC testing rates were compared using generalised additive models (GAM) with a negative binomial distribution calculating rate ratios (RR) and their 95% confidence intervals (CI). In these models, SHC was used as reference and the log of the total number of residents as offset. ...
A novel test specimen called “modified edge notched disc bend” (M-ENDB) is introduced for general mixed mode I/II/III fracture study. • Normalized fracture parameters are presented for the M-ENDB specimen to investigate its fracture behavior under any desired mixed mode I/II/III. • ...
In this article, the general (p,q)-mixed projection bodies are introduced. Then, some basic properties of the general (p,q)-mixed projection bodies are discussed, and the extreme values of volumes of the general (p,q)-mixed projection bodies and their polar bodies are established. Keywords...