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Backfitting algorithm

In statistics, the backfitting algorithm is a simple iterative procedure used to fit a generalized additive model. It was introduced in 1985 by Leo… 
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Related topics

Related topics

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AdaBoostAdditive modelGeneralized additive modelList of numerical analysis topics

Broader (1)

Numerical linear algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Extracting Narrow-Band Signal from a Chaotic Background with LLVCR
In this paper, the problem of extracting a narrow-band signal in strong chaotic background is considered. A method which in… 
2017
2017
Sparse Linear Isotonic Models
In machine learning and data mining, linear models have been widely used to model the response as parametric linear functions of… 
2013
2013
Sequential spatial analysis of large datasets with applications to modern earthwork compaction roller measurement values
2013
2013
Unsupervised energy disaggregation with factorial hidden Markov models based on generalized backfitting algorithm
This paper proposes an approximate inference and parameter estimation in factorial hidden Markov models (FHMMs), a generalization… 
2013
2013
Spatial Backfitting of Roller Measurement Values from a Florida Test Bed
Modern earthwork compaction rollers collect location and compaction information as they traverse a compaction site. These data… 
2009
2009
WORKING PAPER SERIES School of Statistics
2007
2007
SPATIAL-TEMPORAL STOCHASTIC FRONTIER MODELS
The stochastic frontier model with heterogeneous technical efficiency explained by exogenous variables is augmented with a sparse… 
2004
2004
Predicting EMG Activity from Neural Firing in M1with Bayesian Backfitting
Much attention has been given to directly interpreting neural firing in the primary motor cortex as a force signal, i.e., a… 
2000
2000
On local estimating equations in additive multiparameter models
1992
1992
An Operator Method for Backfitting with Smoothing Splines in Additive Models
Backfitting is a popular iterative Jacobi-type procedure to solve systems based on linear scatterplot smoothers, often applied to… 
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