Generalized additive models (with discussion) Existing computationally efficient methods for penalized likelihood GAM fitting employ iterative smoothness selection on working linear models (or working ... T Hastie,R Tibshirani - 《Statistical Science》 被引量: 384发表: 1986年 Journal of Computational and...
(1987). Generalized additive models: Some applications. Jour- nal of the American Statistical Association, 82:371-386.Hastie T, Tibshirani R. 1987. Generalized additive models: Some applications (with discussion). JASA. 82: 371-386.Hastie,T.,Tibshirani,R.Generalized additive models: Some ...
Why Generalized Additive Models (GAM)? What is GAM? Implementing GAM using Python Let’s proceed with our discussion. Why Generalized Additive Models (GAM)? This article assumes that the reader has basic knowledge of linear regression models. In a linear regression model, the results we get ...
Although we focus on the nonparametric additive regression in this paper, the direct method can be also applied to the generalized additive models. However we omit this discussion because the procedure is similar to the case of the additive models discussed in this section. Direct determination of...
A subtype of GAMs, Multiple additive regression (MARS) discussion: Feature request: Implement MARS #845 MARS pull request [WIP] Earth (MARS) #2285 Has there been any update on creating these libraries? 👍 7 amueller added the New Feature label Jan 22, 2015 Member amueller commented ...
Ecological Forecasting with Dynamic GAMs; a tutorial and detailed case study How to interpret and report nonlinear effects from Generalized Additive Models Phylogenetic smoothing using mgcv Incorporating time-varying seasonality in forecast models Please also feel free to use the mvgam Discussion Board to...
Discussion In environmental epidemiological studies, the meteorological/environmental influences on human health indicators are often explained in a modelling framework. And the predominately used models are GLM/GAM. In our research, the drawbacks of GLM/GAM are studied, and their melioration: GAMAR, ...
By extending the BIC to additive models with identity/trivial link, an asymptotically consistent BIC approach for variable selection is proposed. Our procedures are examined in simulations for its theoretical accuracy and performance, and used to forecast the default probability of listed Japanese ...
4. Discussion SSRS designs yielded a more spatially diverse set of controls than SRS designs. The use of spatial strata allowed for the selection of controls with sufficient coverage of the geographic distribution of the population that gave rise to the cases, including rural or less-densely popul...
Discussion Iron Temperature, days air frost, SMD, peat and clay soils and pipes with a diameter <166 mm are the most influential covariates on pipe failures. In interpreting the results, iron pipe failures increase during winter when the temperature is cold, being particularly vulnerable to tem...