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All models are wrong

"All models are wrong" is a common aphorism in statistics. It is generally attributed to the statistician George Box.
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Papers overview

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2018
2018
In this paper, we assess the predictive validity and differential prediction by race and gender of one pretrial risk assessment… Expand
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Highly Cited
2017
Highly Cited
2017
We introduce a novel physical layer scheme for single user Multiple-Input Multiple-Output (MIMO) communications based on… Expand
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2016
2016
This study used the Delphi method to engage expert practitioners on the topic of threshold concepts for information literacy. A… Expand
Highly Cited
2015
Highly Cited
2015
2 MCDA models: ER and AHP were developed to support the optimisation of the site location for a future healthcare.The Evidential… Expand
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Highly Cited
2014
Highly Cited
2014
This guide offers suggestions/insights on uncertainty quantification of nuclear structure models. We discuss a simple approach to… Expand
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2012
2012
Over the past decade, huge volumes of valuable information have become available to organizations. However, the existence of a… Expand
2009
2009
Collaborative modeling offers a novel methodology that integrates core ideals in the policy sciences. The principles behind… Expand
Review
2009
Review
2009
In this article, I revisit Pierre Bourdieu's concept of habitus and contrast it with Herbert Simon's notion of bounded… Expand
Highly Cited
2002
Highly Cited
2002
Thoughtful leaders increasingly recognize that we are not only failing to solve the persistent problems we face, but are in fact… Expand
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Review
1995
Review
1995
The basic tension facing econometricians is that structural models are necessary for addressing monetary policy questions. But… Expand
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