Halbert White

发表

Cross-Validation Estimates ISME

Mark Plutowski, Shinichi Sakata, Halbert White, 1993, NIPS.

Estimation, Inference and Specification Analysis: Appendix 1

Halbert White, 1994 .

Learning in Artificial Neural Networks: A Statistical Perspective

Halbert White, H. White, 1989, Neural Computation.

Estimation, Inference and Specification Analysis.

Adrian Pagan, Adrian Pagan, Halbert White, 1996 .

Closed Form Integration of Artificial Neural Networks with Some Applications to Finance

Halbert White, Andreas Gottschling, Christian Haefke, 2000 .

Learning Mackey-Glass from 25 Examples, Plus or Minus 2

Garrison W. Cottrell, Mark Plutowski, Halbert White, 1993, NIPS.

Using feedforward networks to distinguish multivariate populations

Halbert White, Maxwell B. Stinchcombe, M. Stinchcombe, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Estimation, Inference and Specification Analysis: Information Matrix Testing

Halbert White, 1994 .

Parametric Statistical Estimation with Artificial Neural Networks: A Condensed Discussion

Halbert White, H. White, 1994 .

MLP'S ARE UNIVERSAL APPROXIMATORS

Kurt Hornik, Halbert White, M Stinchcombe, 1989 .

Estimation, Inference and Specification Analysis: Frontmatter

Halbert White, 1994 .

Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning

Halbert White, Karim Chalak, H. White, 2009, J. Mach. Learn. Res..

Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks

Halbert White, Jin Seo Cho, Isao Ishida, 2011, Neural Computation.

Estimation, Inference and Specification Analysis: Applications of m-Testing

Halbert White, 1994 .

Estimation, Inference and Specification Analysis: Introductory Remarks

Halbert White, 1994 .

Estimating data dispersion using neural networks

Halbert White, J. Boyd, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators

Halbert White, Xiaohong Chen, Xiaohong Chen, 1999, IEEE Trans. Inf. Theory.

Regularized Neural Networks: Some Convergence Rate Results

Halbert White, Valentina Corradi, H. White, 1995, Neural Computation.

Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights

Halbert White, Maxwell B. Stinchcombe, H. White, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Linking Granger Causality and the Pearl Causal Model with Settable Systems

Xun Lu, Halbert White, Karim Chalak, 2009, NIPS Mini-Symposium on Causality in Time Series.

Estimation, Inference and Specification Analysis: Specification Testing Via m-Tests

Halbert White, Halbert White, 1994 .

Multilayer feedforward networks are universal approximators

Kurt Hornik, Halbert White, Maxwell B. Stinchcombe, 1989, Neural Networks.

Recursive M-estimation, nonlinear regression and neural network learning with dependent observations

Halbert White, Chung-Ming Kuan, H. White, 1990 .

The Advanced Digital Television (ADTV) Transmission System

Nathan Wilson, Halbert White, David A. Bryan, 1992, IEEE 1992 International Conference on Consumer Electronics Digest of Technical Papers.

FEED FORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS

Kurt Hornik, Halbert White, M Stinchcombe, 1989 .

Causality, Conditional Independence, and Graphical Separation in Settable Systems

Halbert White, Karim Chalak, H. White, 2012, Neural Computation.

Higher-Order Approximations for Testing Neglected Nonlinearity

Halbert White, Jin Seo Cho, 2012, Neural Computation.

Estimation, Inference and Specification Analysis: Conclusion

Halbert White, 1994 .

Estimation, Inference and Specification Analysis: Consistency of the QMLE

Halbert White, 1994 .

Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives

Kurt Hornik, Peter Auer, Halbert White, 1994, Neural Computation.

Experience with selecting exemplars from clean data

Garrison W. Cottrell, Mark Plutowski, Halbert White, 1996, Neural Networks.

A Convergence Result for Learning in Recurrent Neural Networks

Kurt Hornik, Halbert White, Chung-Ming Kuan, 1994, Neural Computation.

Artificial neural networks: an econometric perspective ∗

Halbert White, Chung-Ming Kuan, H. White, 1994 .

Testing correct model specification using extreme learning machines

Halbert White, Jin Seo Cho, H. White, 2011, Neurocomputing.

Dynamic econometric modeling: Efficient instrumental variables estimation of systems of implicit heterogeneous nonlinear dynamic equations with nonspherical errors

Charles Bates, Halbert White, H. White, 1988 .

Nonparametric Identification in Dynamic Nonseparable Panel Data Models

Halbert White, Stefan Hoderlein, H. White, 2013 .

"A flexible Tool for Model Building: the Relevant Transformation of the Inputs Network Approach" (RETINA)".

Giampiero M. Gallo, Halbert White, Teodosio Pérez Amaral, 2003 .

On learning the derivatives of an unknown mapping with multilayer feedforward networks

Halbert White, A. Ronald Gallant, H. White, 1992, Neural Networks.

Letters to the editor

Kurt Hornik, Halbert White, Maxwell B. Stinchcombe, 1993, Neural Networks.