Mean squared prediction error

In statistics the mean squared prediction error of a smoothing or curve fitting procedure is the expected value of the squared difference between the… (More)
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Topic mentions per year

1957-2016
0519572016

Papers overview

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2013
2013
A novel intra prediction scheme, based on recursive extrapolation filters, is introduced. Standard intra prediction largely… (More)
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2008
2008
Empirical best linear unbiased prediction (EBLUP) method uses a linear mixed model in combining information from different… (More)
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2006
2006
Small area estimation has received enormous attention in recent years due to its wide range of application, particularly in… (More)
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2006
2006
The echo state network (ESN) has been recently proposed as an alternative recurrent neural network model. An ESN consists of a… (More)
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Review
2006
Review
2006
Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage… (More)
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Review
2005
Review
2005
Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage… (More)
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Highly Cited
2005
Highly Cited
2005
Forecast evaluation often compares a parsimonious null model to a larger model that nests the null model. Under the null that the… (More)
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2005
2005
We show how to compute the minimum mean squared prediction error of a mobile-radio fading envelope modeled as a stationary… (More)
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2005
2005
The predictive capability of a modification of Rissanen’s accumulated prediction error (APE) criterion, APEδn , is investigated… (More)
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2003
2003
Zhang and Shaman considered the problem of estimating the conditional mean-squared prediciton error (CMSPE) for a Gaussian… (More)
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