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Model selection

Known as: Model comparison 
Model selection is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre-existing set of… 
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Papers overview

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Highly Cited
2011
Highly Cited
2011
The G-DINA (generalized deterministic inputs, noisy “and” gate) model is a generalization of the DINA model with more relaxed… 
2011
2011
Validating and transforming models are essential steps in model-driven engineering. These tasks are often implemented as… 
2010
2010
This paper proposes GenericDiff, a general framework for model comparison. The main idea is to separate the specification of… 
Highly Cited
2006
Highly Cited
2006
[1] Using 14 yearlong instrumented moorings deployed south of St. Lawrence Island, along with oceanographic drifters, we… 
Highly Cited
2006
Highly Cited
2006
This study proposes a new complex system modeling approach by extending a bias-variance trade-off into a bias-variance-complexity… 
Highly Cited
1995
Highly Cited
1995
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1987
Highly Cited
1987
An efficient and rigorous strategy is presented for evaluating the first-order sensitivity of the optimal solution to changes in…