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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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Related topics

Related topics

39 relations
Additive modelAkaike information criterionAlgorithmic information theoryAll models are wrong

Papers overview

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Highly Cited
2011
Highly Cited
2011
The Generalized DINA Model Framework
The G-DINA (generalized deterministic inputs, noisy “and” gate) model is a generalization of the DINA model with more relaxed… 
Highly Cited
2011
Highly Cited
2011
Model Comparison to Synthesize a Model-Driven Software Product Line
Current model-driven software product line development is mostly based on feature/variability modeling techniques, however, we… 
Highly Cited
2008
Highly Cited
2008
Comparing cost prediction models by resampling techniques
Highly Cited
2006
Highly Cited
2006
The St. Lawrence polynya and the Bering shelf circulation : New observations and a model comparison
[1] Using 14 yearlong instrumented moorings deployed south of St. Lawrence Island, along with oceanographic drifters, we… 
Highly Cited
2005
Highly Cited
2005
Statistical modeling and conceptualization of natural images
Highly Cited
2004
Highly Cited
2004
Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm
1999
1999
RKHS-based functional analysis for exact incremental learning
Highly Cited
1996
Highly Cited
1996
Cross-validated structure selection for neural networks
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1990
Highly Cited
1990
PC-GIVE and David Hendry's econometric methodology
This paper summarizes David Hendry's empirical econometric methodology, unifying discussions in many of his and his co-authors… 
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