Attached Files:
- Uniqueness of the Weights for Minimal Feed-Forward Nets with a Given Input-Output Map
Sussmann H.J. Neural networks, 5:589-593, 1992
- hansen_nuisanceparameter1
Nuissance parameter
- Caractérisation des crises financières à l'aide de modèles hybrides(HMC-MLP)
Maillet B., Olteanu M., Rynkiewicz J. Revue d'économie politique, 4:489-506:2004
- Asymptotic law of likelihood ratio for multilayer perceptron models
Rynkiewicz J. Proceedings of the 5th international symposium on Neural Networks : Advanced in Neural Networks, 186-195:2008
- Regularity Condition of the Information Matrix of a Multilayer Perceptron Network
Fukumizu K. Neural networks, 9:871-879:1996
- Testing the order of a Model Using Locally Conic Parameterization : Population Mixtures and Stationary ARMA process
Dacunha-Castelle D., Gassiat E. The Annals of Statistics, 27:1178-1209,1999
- Likelihood ratio of unidentifiable models and multilayer neural networks
Fukumizu K. The Annals of Statistics, 31:833-851:2003
- Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression: Estimation, identification, méthode d'élagage SSM
Cottrell M., Rynkiewicz J., Mangeas M., and Yao J. Revue d'intelligence artificielle, 15:317-332, 2001
- Likelihood Ratio Inequalities with Applications to Various Mixtures
Gassiat E. Annales de l'Institut Henri Poincaré, 38:897-906:2002
- Neural Model Selection : How to Determine the Fittest Criterion
Mangeas M. Proceedings of ICANN'97, 987-992:1997
- Asymptotics for Likelihood Ratio Tests Under Loss of Identifiability
Liu X., Shao Y. The Annals of Statistics, 31:807-832:2003
- On least squares estimation for stable nonlinear AR processes
Jian-Feng Yao. Ann. Inst. Statist. Math. Vol 52. No2. 316-331:2000
- Consistent estimation of the architecture of multilayer perceptrons
Joseph Rynkizwicz
- Fifth edition : Econometric Analysis
William H. Greene. New York University
- A new approach to the Economic Analysis of nonstationary time series and the business cycle
Hamilton, James D. Econometrica, 57(2):357-84, 1989
- On the distribution of a Gaussien field with d parameters
Azais J.M, Wschebor M. Ann. Appl. Probab, 15(1A):254-278, 2005
- Inference when a nuisance parameter is not identified under the null hypothesis
Hansen, Bruce E. Econometrica, 64(2):413-30:1996
- petite thèse
Le comportement asymptotique des statistiques du perceptron multicouches et simulation de la pénalité
- Multilayer feedforward networks are universal approximators
Hornik K., Stinchocombe M., and White H. Neural Networks, 4: 359-366, 1989
- Bounds and asymptotic expansions for the distribution of the maximum of a smooth stationary gaussian process
Jean-Marc Azais, Christine Cierco-Ayrolles, Alain Croquette.
- Testing the order of a model
Antoine Chambaz. The Annals of Statistics, 34(3):1166-1203:2006
- Testing Homogeneity in Gamma Mixture Models
Xin Liu, Cristian Pasarica, Yongzhao shao. LRTS
- Computing the Distribution of the Maximum of a Gaussian Process
Jean-Marc Azais, Mario Wschebor
- GNU Scientific Library
Reference Manual GSL Version 1.8
- Markov Chains and Stochastic Stability
S.P.Meyn and R.L. Tweedie