Large Sample Sieve Estimation of Semi-Nonparametric Models (2007)

by Xiaohong Chen
Venue:Handbook of Econometrics
Citations:92 - 17 self

Active Bibliography

3 Penalized Sieve Estimation and Inference of Semi-nonparametric Dynamic Models: A Selective Review – Xiaohong Chen - 2011
309 Regularization Theory and Neural Networks Architectures – Federico Girosi, Michael Jones, Tomaso Poggio - 1995
7 Implementing Nonparametric and Semiparametric Estimators – Hidehiko Ichimura, Petra E. Todd - 2006
8 On Kolmogorov's Representation of Functions of Several Variables by Functions of One Variable – Mark Coppejans - 2003
70 Empirical pricing kernels – Joshua V. Rosenberg , Robert F. Engle - 2001
33 Land of Addicts? An Empirical Investigation of Habit-Based Asset Pricing Models – Xiaohong Chen, Sydney C. Ludvigson - 2003
13 The Informational Complexity of Learning from Examples – Partha Niyogi - 1996
Breaking the Curse of Dimensionality – Mark Coppejans - 2000
18 EMPIRICAL LIKELIHOOD METHODS IN ECONOMETRICS: THEORY AND PRACTICE – Yuichi Kitamura - 2006
1.1 History and Outline – unknown authors
7 Ridge Functions, Sigmoidal Functions and Neural Networks – Will Light - 1993
On Equivalence of Moduli of Smoothness – Th Ne Ss
Adaptive non-uniform B-spline dictionaries on a compact interval – Laura Rebollo-Neira, Zhiqiang Xu - 2009
5 Cardinal B-spline dictionaries on a compact interval – Miroslav Andrle, Laura Rebollo-Neira - 2005
3 On A Choice Of Sampling Nodes For Optimal Approximation Of Smooth Functions By Generalized Translation Networks – H. N. Mhaskar, J. Prestin - 1999
Lower Bounds for Approximation of some classes of Lebesgue measurable functions by Sigmoidal Neural Networks – José L. Montaña, Cruz E. Borges
4 Approximation of Smooth Functions By Neural Networks – H. N. Mhaskar - 1998
31 Generalization Bounds for Function Approximation from Scattered Noisy Data – Partha Niyogi, Federico Girosi - 1998
43 Neural Networks for Optimal Approximation of Smooth and Analytic Functions – H. N. Mhaskar - 1996