This book introduces generalized additive models for location, scale and shape (GAMLSS) – one of the most important classes of distributional regression. Taking a broad perspective, the authors consider penalized likelihood in... (展开全部) 作者简介 ··· Mikis D. Stasinopoulos is Professor...
lucid text book, fantastic intro to GAM, basic knowledge of GLM/GLMM are also included. 0 有用 BlindZealot 2013-06-28 04:59:30 Concise, clear, readable. To work on: Chap 4, 6 > 更多短评 2 条 我要写书评 Generalized Additive Models的书评 ··· ( 全部0 条 ) 论坛 ··· 在...
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While Mc...
The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary...
This book offers a detailed application guide to XploRe - theinteractive statistical computing environment - with casestudies of real data analysis situati... RA Koyak,TJ Hastie,RJ Tibshirani - 《Technometrics》 被引量: 622发表: 2011年 Generalized Additive Models Summary This chapter contains sections...
When looking at R's mgcv and the related book "Generalized Additive Models" By Wood (2017 Second Edition), the "hard" part is the smoothing selection which can be done using REML (restricted maximum likelihood) or GCV. The Wood book recommends using REML because it "tends to be more resi...
complexity economic-development economic-data generalized-additive-models diversification economic-growth Updated Jul 6, 2023 Jupyter Notebook TomStog / Infrared-BP Star 8 Code Issues Pull requests The dataset used for the "Non-Contact Blood Pressure Estimation using infrared motion magnified facial...
Generalized Additive Models are a very nice and effective way of fitting Non linear Models which are smooth and flexible.Best part is that they lead to interpretable Models. We can easily mix terms in GAMs,some linear and some Non Linear terms and then compare those Models using the anova()...
Generalized Additive Model A New Model for Rare Events: Generalized Extreme Value Additive Model An Application to Credit Defaults Conclusions References References Other actions Reprints and Permissions Export citation About this Book Add to Papers Share Share this content on Facebook Shar...
GAMs are additive in nature , which means there are no interaction terms in the Model. Thanks a lot for reading the article,and make sure to like and share it.Cheers! Linear RegressionLogistic RegressionPolynomial Regression Share the Post Facebook Twitter Reddit Linkedin Email this ...