| Автор | Maasoumi, E. |
| Автор | Khotanzed, A. |
| Автор | Abaye, A. |
| Дата выпуска | 1994 |
| Формат | application.pdf |
| Издатель | Marcel Dekker, Inc |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Тема | Neural Networks |
| Тема | Nelson-Plosser Data |
| Тема | Back Propagation |
| Тема | Non-Linear Dynamics |
| Тема | Unit Roots |
| Тема | Time Series |
| Тема | Recursive Least Squares |
| Название | Artificial neural networks for some macroeconomic series: A first report |
| Тип | research-article |
| DOI | 10.1080/07474939408800276 |
| Electronic ISSN | 1532-4168 |
| Print ISSN | 0747-4938 |
| Журнал | Econometric Reviews |
| Том | 13 |
| Первая страница | 105 |
| Последняя страница | 122 |
| Аффилиация | Maasoumi, E.; Southern Methodist University |
| Аффилиация | Khotanzed, A.; Southern Methodist University |
| Аффилиация | Abaye, A.; Southern Methodist University |
| Выпуск | 1 |
| Библиографическая ссылка | Gallant, R. and White, H. 1988. A Unified Theory of Estimation and Inference for Non-Linear Dynamic Models, Oxford: Basil Blackwell. |
| Библиографическая ссылка | Georgescu-Roegen, N. 1966. Analytical Economics : Issues and Problems, Boston: Harvard University Press. |
| Библиографическая ссылка | Ghysels, E. 1990. Unit-root tests and the statistical pitfalls of seasonal adjustment: The case of U.S. postwar real gross national product. Journal of Business & Economic Statistics, 8(2): 145–152. |
| Библиографическая ссылка | Hamilton, J. D. 1989. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2): 357–384. |
| Библиографическая ссылка | Hornick, K., Steincombe, M. and White, H. 1989. Multi-Layer Feedforward Networks are Universal Approximators. Neural Networks, 2(2): 359–366. |
| Библиографическая ссылка | Khotanzad, A. R. and Fowler, M. 1991. “Neural Network Based Time Series Forecasting”. In Intelligent Engineering Systems Through Artificial Neural Networks, Edited by: Dagli, C. H., Kumara, S. R. T. and Shin, Y. C. New York: ASME Press. |
| Библиографическая ссылка | Kuan, C. M. and White, H. 1993. Artificial Neural networks: An econometric Perspective. Econometric Reviews, this issue |
| Библиографическая ссылка | Maasoumi, E. 1991. “A Gauss program for unit-root like jump processes,rebooting, and sneezing models”. In Economics, SMU. |
| Библиографическая ссылка | Maasoumi, E. 1993. “A Compendium To Information Theory in Economics and Econometrics”. In Economics, SMU. |
| Библиографическая ссылка | Nelson, C. R. and Plosser, C. I. 1982. Trends and Random Walks in Macroeconomic Time Series: Some Evidence and Implications. Journal of Monetary Economics, 10: 139–162. |
| Библиографическая ссылка | Perron, P. 1990. Testing unit roots in a time series with a changing mean. Journal of Business & Economic Statistics, 8(2): 153–162. |
| Библиографическая ссылка | Potcher, B. and Prucha, I. 1991a. Basic structure of the asymptotic theory in dynamic non-linear econometric models. I. Consistency and approximation concepts. Econometric Reviews, 10(2): 125–216. |
| Библиографическая ссылка | Potcher, B. and Prucha, I. 1991b. Basic structure of asymptotic theory of non-linear econometric models II Asymptotic normality. Econometric Reviews, 10(3): 253–358. (with discussion) |
| Библиографическая ссылка | Priestly, M. B. 1988. Non-linear and non-stationary time series analysis, Academic Press. |
| Библиографическая ссылка | Schotman, P. C. and van Dijk, H. K. 1991. On Bayesian Routes to Unit Roots. Journal of Applied Econometrics, 6(4): 387–402. |
| Библиографическая ссылка | Tong, H. 1990. Non-linear time series: A dynamical system approach, Oxford: Clarendon Press. |
| Библиографическая ссылка | White, H. 1989. Some Asymptotic Results for Learning Hidden Layer Feedforward Network Models. Journal of The American Statistical Association, 84: 1003–1013. |
