Model selection in neural networks
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[1] H. White. Consequences and Detection of Misspecified Nonlinear Regression Models , 1981 .
[2] Brian D. Ripley,et al. Pattern Recognition and Neural Networks , 1996 .
[3] J. MacKinnon,et al. Estimation and inference in econometrics , 1994 .
[4] John E. Moody,et al. Smoothing Regularizers for Projective Basis Function Networks , 1996, NIPS.
[5] A. N. Burgess. Non-linear model identification and statistical significance tests and their application to financial modelling , 1995 .
[6] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[7] Ulrich Anders,et al. Improving the pricing of options: a neural network approach , 1998 .
[8] A. Neil Burgess,et al. Neural networks in financial engineering: a study in methodology , 1997, IEEE Trans. Neural Networks.
[9] John E. Moody,et al. The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems , 1991, NIPS.
[10] H. White,et al. An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks , 1989, International 1989 Joint Conference on Neural Networks.
[11] Warren S. Sarle,et al. Neural Networks and Statistical Models , 1994 .
[12] D. Rumelhart,et al. Predicting sunspots and exchange rates with connectionist networks , 1991 .
[13] Clive W. J. Granger,et al. Testing for neglected nonlinearity in time series models: A comparison of neural network methods and alternative tests , 1993 .
[14] Brian D. Ripley,et al. Statistical aspects of neural networks , 1993 .
[15] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[16] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[17] R. Davies. Hypothesis testing when a nuisance parameter is present only under the alternative , 1977 .
[18] H. Akaike. A new look at the statistical model identification , 1974 .
[19] Jason Kingdon. Intelligent systems and financial forecasting , 1997, Perspectives in neural computing.
[20] Warren S. Sarle,et al. Stopped Training and Other Remedies for Overfitting , 1995 .
[21] Halbert White,et al. Artificial neural networks: an econometric perspective ∗ , 1994 .
[22] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[23] Halbert White,et al. Learning in Artificial Neural Networks: A Statistical Perspective , 1989, Neural Computation.
[24] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[25] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[26] Peter Schmidt,et al. The Theory and Practice of Econometrics , 1985 .
[27] Ulrich Anders,et al. Statistische neuronale Netze , 1997 .
[28] Timo Teräsvirta,et al. POWER OF THE NEURAL NETWORK LINEARITY TEST , 1993 .
[29] H. White,et al. Information criteria for selecting possibly misspecified parametric models , 1996 .
[30] P. Phillips. Partially Identified Econometric Models , 1988, Econometric Theory.
[31] Maxwell B. Stinchcombe,et al. CONSISTENT SPECIFICATION TESTING WITH NUISANCE PARAMETERS PRESENT ONLY UNDER THE ALTERNATIVE , 1998, Econometric Theory.
[32] H. White. Maximum Likelihood Estimation of Misspecified Models , 1982 .
[33] Russell Reed,et al. Pruning algorithms-a survey , 1993, IEEE Trans. Neural Networks.
[34] Adrian Pagan,et al. Estimation, Inference and Specification Analysis. , 1996 .
[35] R. Davies. Hypothesis Testing when a Nuisance Parameter is Present Only Under the Alternatives , 1987 .
[36] C. Granger,et al. Modelling Nonlinear Economic Relationships , 1995 .
[37] Norman R. Swanson,et al. A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks , 1995 .
[38] M. Stone. An Asymptotic Equivalence of Choice of Model by Cross‐Validation and Akaike's Criterion , 1977 .
[39] Shun-ichi Amari,et al. Network information criterion-determining the number of hidden units for an artificial neural network model , 1994, IEEE Trans. Neural Networks.
[40] H. Akaike. INFORMATION THEORY AS AN EXTENSION OF THE MAXIMUM LIKELIHOOD , 1973 .
[41] G. Judge,et al. The Theory and Practice of Econometrics (2nd ed.). , 1986 .