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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 work we offer a framework for reasoning about a wide class of existing objectives in machine learning. We develop a… Expand
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Review
2017
Review
2017
Abstract The UK housing stock is responsible for some 27% of national energy demand and associated carbon dioxide emissions. 80… 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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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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2014
2014
The paper suggests a framework for achieving alignment between a process and its external and internal environment. The framework… 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
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2009
2009
Collaborative modeling offers a novel methodology that integrates core ideals in the policy sciences. The principles behind… Expand
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2008
2008
In this paper we will introduce a system dynamic model that aims to identify the mechanisms how learning in innovation process… Expand
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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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