Linear Models

Known as: Linear Model, Model, Linear, Models, Linear 
Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The… (More)
National Institutes of Health

Papers overview

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Highly Cited
2014
Highly Cited
2014
The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate… (More)
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Review
2008
Review
2008
Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously… (More)
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Highly Cited
2006
Highly Cited
2006
We prove that boosting with the squared error loss, L2Boosting, is consistent for very high-dimensional linear models, where the… (More)
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Highly Cited
2005
Highly Cited
2005
This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of… (More)
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Highly Cited
2002
Highly Cited
2002
In this paper we present a technique for extending generalized linear models (GLM) to the situation where some of the predictor… (More)
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Highly Cited
1998
Highly Cited
1998
PURPOSE Our goal was to validate linear and nonlinear intersubject image registration using an automated method (AIR 3.0) based… (More)
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Highly Cited
1993
Highly Cited
1993
In many neural systems, sensory information is distributed throughout a population of neurons. We study simple neural network… (More)
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Highly Cited
1992
Highly Cited
1992
hierarchical linear models applications and data analysis methods advanced quantitative techniques in the social by is among the… (More)
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Highly Cited
1986
Highly Cited
1986
  • L T Maloney
  • Journal of the Optical Society of America. A…
  • 1986
Recent computational models of color vision demonstrate that it is possible to achieve exact color constancy over a limited range… (More)
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Highly Cited
1982
Highly Cited
1982
Specifically, we discussed estimation of the model parameters, measurements of uncertainty in these estimates and the predicted… (More)
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