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… (More)
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2016
2016
ContextSpecies distribution models (SDM) establish statistical relationships between the current distribution of species and key… (More)
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2014
2014
This guide offers suggestions/insights on uncertainty quantification of nuclear structure models. We discuss a simple approach to… (More)
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Review
2014
Review
2014
Stochastic modeling techniques have become increasingly popular during the last decades, particularly in mathematical finance… (More)
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2011
2011
Mathematically rigorous descriptions of key hypotheses and theories are becoming more common in neuroscience and are beginning to… (More)
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2011
2011
Using a time series model to mimic an observed time series has a long history. However, with regard to this objective… (More)
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2009
2009
Collaborative modeling offers a novel methodology that integrates core ideals in the policy sciences. The principles behind… (More)
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2009
2009
The increasing availability of spatial micro data offers new potential for understanding the micro foundations of urban spatial… (More)
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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… (More)
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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… (More)
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