When a good fit can be bad

[1]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[2]  Woojae Kim,et al.  Flexibility versus generalizability in model selection , 2003, Psychonomic bulletin & review.

[3]  I. J. Myung,et al.  Toward a method of selecting among computational models of cognition. , 2002, Psychological review.

[4]  Felix Wichmann,et al.  The psychometric function: I. Fitting, sampling, and goodness of fit , 2001, Perception & psychophysics.

[5]  Bin Yu,et al.  Model Selection and the Principle of Minimum Description Length , 2001 .

[6]  I. J. Myung,et al.  Counting probability distributions: Differential geometry and model selection , 2000, Proc. Natl. Acad. Sci. USA.

[7]  M. Bhaskara Rao,et al.  Model Selection and Inference , 2000, Technometrics.

[8]  Karl J. Friston,et al.  Delineating Necessary and Sufficient Neural Systems with Functional Imaging Studies of Neuropsychological Patients , 1999, Journal of Cognitive Neuroscience.

[9]  Karl J. Friston,et al.  Cognitive Conjunction: A New Approach to Brain Activation Experiments , 1997, NeuroImage.

[10]  I. J. Myung,et al.  Applying Occam’s razor in modeling cognition: A Bayesian approach , 1997 .

[11]  Stephan Lewandowsky,et al.  Using Parameter Sensitivity and Interdependence to Predict Model Scope and Falsifiability , 1996 .

[12]  Richard S. J. Frackowiak,et al.  Functional anatomy of a common semantic system for words and pictures , 1996, Nature.

[13]  A. Jacobs,et al.  Models of visual word recognition: Sampling the state of the art. , 1994 .

[14]  T. Allison,et al.  Word recognition in the human inferior temporal lobe , 1994, Nature.

[15]  M. Posner,et al.  Positron emission tomographic studies of the cortical anatomy of single-word processing , 1988, Nature.

[16]  R. Nosofsky Attention, similarity, and the identification-categorization relationship. , 1986, Journal of experimental psychology. General.

[17]  G A Ojemann,et al.  Individual variability in cortical localization of language. , 1979, Journal of neurosurgery.

[18]  D. Massaro,et al.  Integration of featural information in speech perception. , 1978, Psychological review.

[19]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[20]  H Pashler,et al.  How persuasive is a good fit? A comment on theory testing. , 2000, Psychological review.

[21]  J. D. Smith,et al.  Thirty categorization results in search of a model. , 2000, Journal of experimental psychology. Learning, memory, and cognition.

[22]  Jorma Rissanen,et al.  Fisher information and stochastic complexity , 1996, IEEE Trans. Inf. Theory.

[23]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[24]  A. Raftery,et al.  Bayes factors , 1995 .

[25]  Ming Li,et al.  An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.

[26]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .