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Data dredging

Known as: Data dredge, Data snooping, P-hacking 
Data dredging (also data fishing, data snooping, and p-hacking) is the use of data mining to uncover patterns in data that can be presented as… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
We study the after-trading-cost performance of anomalies and the effectiveness of transaction cost mitigation techniques… 
Highly Cited
2013
Highly Cited
2013
‘Smart cities’ is a term that has gained traction in academia, business and government to describe cities that, on the one hand… 
Review
2013
Review
2013
Encryption is the process of scrambling a message so that only the intended recipient can read it. Encryption can provide a means… 
Highly Cited
2012
Highly Cited
2012
We propose a new notion of secure multiparty computation aided by a computationally-powerful but untrusted "cloud" server. In… 
Highly Cited
2010
Highly Cited
2010
Heating, ventilation and cooling (HVAC) is the largest source of residential energy consumption. In this paper, we demonstrate… 
Highly Cited
2006
Highly Cited
2006
Towed bottom-fishing gears are thought to constitute one of the largest global anthropogenic sources of disturbance to the seabed… 
Highly Cited
2005
Highly Cited
2005
We propose a new test for superior predictive ability. The new test compares favorably to the reality check (RC) for data… 
Highly Cited
2000
Highly Cited
2000
Data snooping occurs when a given set of data is used more than once for purposes of inference or model selection. When such data… 
Review
1999
Review
1999
Statistical model selection criteria provide an informed choice of the model with best external (i.e., out-of-sample) validity… 
Highly Cited
1998
Highly Cited
1998
The paper shows that the factors that drive cross-sectional differences in expected stock returns in emerging equity markets are…