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Bayesian Functional Generalized Additive Models with Sparsely Observed Covariates
auction data functional data analysis functional regression linear mixed models measurement error MCMC penalized splines variational inference
2013/6/14
The functional generalized additive model (FGAM) was recently proposed in McLean et al. (2012) as a more flexible alternative to the common functional linear model (FLM) for regressing a scalar on fun...
Estimation in additive models with highly or nonhighly correlated covariates
Additive model backfitting local linear smoothing normalizatio
2010/10/14
Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We introduce two novel appr...
A Note on The Backfitting Estimation of Additive Models
additive model backfitting algorithm convergence of algorithm kernelsmoothing
2010/3/18
The additive model is one of the most popular semiparametric models. The backfitting
estimation (Buja, Hastie and Tibshirani, 1989, Ann. Statist.) for the model
is intuitively easy to understand and...
A simple smooth backfitting method for additive models
Backfitting nonparametric regression local linear smoothing
2010/4/26
In this paper a new smooth backfitting estimate is proposed for
additive regression models. The estimate has the simple structure of
Nadaraya–Watson smooth backfitting but at the same time achieves
...