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…

Papers overview

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2014

We introduce a new algorithm, called adaptive sparse backfitting algorithm, for solving high dimensional Sparse Additive Model…

2013

Modern earthwork compaction rollers collect location and compaction information as they traverse a compaction site. These data…

2009

2008

The additive model is the generalized of multiple linear regression that expresses the mean of a reponse variable as a sum of…

2007

The stochastic frontier model with heterogeneous technical efficiency explained by exogenous variables is augmented with a sparse…

2007

In a regression model with time series data, whether the regressors are cointegrated or not, the structure of X’X is usually…

2005

In this paper, we present an approach to fundamental frequency contour modeling of English for speech synthesis, based on a…

2004

Much attention has been given to directly interpreting neural firing in the primary motor cortex as a force signal, i.e., a…

2000

In this paper we introduce a methodology based on a combination of classification/prediction procedures derived from different…

1989