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ORCIDHalbert White
Person information
- affiliation: University of California, San Diego, Department of Economics, USA
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2020 – today
- 2023
[j22]Jin Seo Cho
, Meng Huang, Halbert White:
Testing a constant mean function using functional regression. Neural Comput. Appl. 35(29): 21915-21934 (2023)
2010 – 2019
- 2012
- [j21]Halbert White, Jin Seo Cho:
Higher-Order Approximations for Testing Neglected Nonlinearity. Neural Comput. 24(1): 273-287 (2012) - [j20]Karim Chalak, Halbert White:
Causality, Conditional Independence, and Graphical Separation in Settable Systems. Neural Comput. 24(7): 1611-1668 (2012) - 2011
- [j19]Jin Seo Cho, Halbert White:
Testing correct model specification using extreme learning machines. Neurocomputing 74(16): 2552-2565 (2011) - [j18]Jin Seo Cho, Isao Ishida, Halbert White:
Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks. Neural Comput. 23(5): 1133-1186 (2011) - [c6]Halbert White, Karim Chalak, Xun Lu:
Linking Granger Causality and the Pearl Causal Model with Settable Systems. NIPS Mini-Symposium on Causality in Time Series 2011: 1-29
2000 – 2009
- 2009
- [j17]Halbert White, Karim Chalak:
Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning. J. Mach. Learn. Res. 10: 1759-1799 (2009) - 2001
- [j16]Yaser S. Abu-Mostafa, Amir F. Atiya, Malik Magdon-Ismail, Halbert L. White:
Introduction to the special issue on neural networks in financial engineering. IEEE Trans. Neural Networks 12(4): 653-656 (2001) - [j15]Halbert L. White, Jeffrey S. Racine:
Statistical inference, the bootstrap, and neural-network modeling with application to foreign exchange rates. IEEE Trans. Neural Networks 12(4): 657-673 (2001)
1990 – 1999
- 1999
- [j14]Xiaohong Chen, Halbert White:
Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators. IEEE Trans. Inf. Theory 45(2): 682-691 (1999) - 1996
- [j13]Mark Plutowski, Garrison W. Cottrell, Halbert White:
Experience with selecting exemplars from clean data. Neural Networks 9(2): 273-294 (1996) - 1995
- [j12]William G. Baxt, Halbert White:
Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction. Neural Comput. 7(3): 624-638 (1995) - [j11]Valentina Corradi, Halbert White:
Regularized neural networks: some convergence rate results. Neural Comput. 7(6): 1225-1244 (1995) - [j10]Joseph E. Yukich, Maxwell B. Stinchcombe, Halbert White:
Sup-norm approximation bounds for networks through probabilistic methods. IEEE Trans. Inf. Theory 41(4): 1021-1027 (1995) - 1994
- [j9]Chung-Ming Kuan, Kurt Hornik, Halbert White:
A Convergence Result for Learning in Recurrent Neural Networks. Neural Comput. 6(3): 420-440 (1994) - [j8]Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer:
Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Comput. 6(6): 1262-1275 (1994) - 1993
- [j7]Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
Letters to the editor. Neural Networks 6(1): 3 (1993) - [j6]Mark Plutowski, Halbert White:
Selecting concise training sets from clean data. IEEE Trans. Neural Networks 4(2): 305-318 (1993) - [c5]Mark Plutowski, Shinichi Sakata, Halbert White:
Cross-Validation Estimates ISME. NIPS 1993: 391-398 - [c4]Mark Plutowski, Garrison W. Cottrell, Halbert White:
Learning Mackey-Glass from 25 Examples, Plus or Minus 2. NIPS 1993: 1135-1142 - 1992
- [j5]A. Ronald Gallant, Halbert White:
On learning the derivatives of an unknown mapping with multilayer feedforward networks. Neural Networks 5(1): 129-138 (1992) - 1990
- [j4]Halbert White:
Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. Neural Networks 3(5): 535-549 (1990) - [j3]Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks 3(5): 551-560 (1990) - [c3]Maxwell B. Stinchcombe, Halbert White:
Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights. IJCNN 1990: 7-16
1980 – 1989
- 1989
- [j2]Halbert White:
Learning in Artificial Neural Networks: A Statistical Perspective. Neural Comput. 1(4): 425-464 (1989) - [j1]Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
Multilayer feedforward networks are universal approximators. Neural Networks 2(5): 359-366 (1989) - 1988
- [c2]Halbert White:
Economic prediction using neural networks: the case of IBM daily stock returns. ICNN 1988: 451-458 - [c1]A. Ronald Gallant, Halbert White:
There exists a neural network that does not make avoidable mistakes. ICNN 1988: 657-664
Coauthor Index
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