这一章主要介绍了generalized additive models, tees, MARS, prim, hme。之前在基展开中有提到,可以对线性模型进行基变换,从而可以取得非线性的效果。对于GAM有如下形式: ($E(Y|x_1,x_2,\cdot\cdot\cdot,x_p) = \alpha + f_x(x_1) + f_2(x_2) + \cdot \cdot \cdot + f_p(x_p) $) 其...
For smooth terms, we analysed whether each term was significant for the generalized additive model and presented substantial variance in the final models. We explored 95% confidence/credibility intervals for fixed effects58and examined support for potential null effects. All reported tests were two-tai...
Generalized additive models for the analysis of EQ-5D utility data. Measured utility data have a discrete distribution, and the discreteness is particularly pronounced for EQ-5D utilities. Given the discreteness of the data... Eleanor,M,Pullenayegum,... - 《Medical Decision Making An ...
Green, D. and Kern, H. (2010). Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees. InThe annual summer meeting of the society of political methodology. Hastie, T. (2013).GAM: Generalized Additive Models. R package version 1.09. Hastie, T...
mixed effects modelsGeneralized additive models replace the linear predictor in a linear model or generalized linear model framework with an additive predictor composed of nonparametric or semiparametric functions of the explanatory variables. Similarly to generalized linear models, the predictor is linear ...
Hastie, T. and Tibshirani, R. (1986). Generalized additive models.Statistical Science, 1(3):297–310. Hastie, T., Tibshirani, R., and Friedman, J. (2009).The Elements of Statistical Learning. Springer Science, second edition. Jakulin, A., Mozina, M., and Demsar, J. (2005). Nomo...
Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting Both steps are performed by fitting a quantile generalized additive model (quantGAM). Concerning the electricity price forecasting, we investigate three ... P Gaillard,Y Goude,Nedellec, Rap...
The observed counts were modelled using generalized additive models (GAMs), with a correction factor for bird movement relative to the ship included in an offset. The models were used to produce estimates of the size of the seabird populations at sea, which were compared with independent colony-...
We then use generalized additive models (i.e., where the predictor depends linearly on smooth functions of the predictor variables), to model the streamflow time series under non-stationary conditions, using agriculture, population, precipitation and temperature as potential predictors. Our research ...
However, \({\alpha }_{\nu }\) was found to be important in terms of model fit and hence we have used a generalized gamma distribution (Supplementary Information 1). Defining developmental milestones GAMLSS modelling also allowed us to leverage the aggregated life-spanning neuroimaging dataset to...