-
2
-
-
0033105287
-
Model selection in neural networks
-
Anders U, Korn O. 1999. Model selection in neural networks. Neural Networks 12: 309-323.
-
(1999)
Neural Networks
, vol.12
, pp. 309-323
-
-
Anders, U.1
Korn, O.2
-
3
-
-
0001181242
-
Improving the pricing of options: A neural network approach
-
Anders U, Korn O, Schmitt C. 1998. Improving the pricing of options: a neural network approach. Journal of Forecasting 17: 369-388.
-
(1998)
Journal of Forecasting
, vol.17
, pp. 369-388
-
-
Anders, U.1
Korn, O.2
Schmitt, C.3
-
4
-
-
0001627244
-
Identification of nonlinear time series: First order characterization and order determination
-
Auestad B, Tjøstheim D. 1990. Identification of nonlinear time series: first order characterization and order determination. Biometrika 77: 669-687.
-
(1990)
Biometrika
, vol.77
, pp. 669-687
-
-
Auestad, B.1
Tjøstheim, D.2
-
5
-
-
0034288854
-
Automatic neural network modeling for univariate time series
-
Balkin SD, Ord JK. 2000. Automatic neural network modeling for univariate time series. International Journal of Forecasting 16: 509-515.
-
(2000)
International Journal of Forecasting
, vol.16
, pp. 509-515
-
-
Balkin, S.D.1
Ord, J.K.2
-
8
-
-
84981411999
-
Threshold variable selection in open-loop threshold autoregressive models
-
Chen R. 1995. Threshold variable selection in open-loop threshold autoregressive models. Journal of Time Series Analysis 16: 461-481.
-
(1995)
Journal of Time Series Analysis
, vol.16
, pp. 461-481
-
-
Chen, R.1
-
9
-
-
0035392123
-
Semiparametric ARX neural-network models with an application to forecasting inflation
-
Chen X, Racine J, Swanson NR. 2001. Semiparametric ARX neural-network models with an application to forecasting inflation. IEEE Transactions on Neural Networks 12: 674-683.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 674-683
-
-
Chen, X.1
Racine, J.2
Swanson, N.R.3
-
11
-
-
0017755296
-
Hypothesis testing when the nuisance parameter is present only under the alternative
-
Davies RB. 1977. Hypothesis testing when the nuisance parameter is present only under the alternative. Biometrika 64: 247-254.
-
(1977)
Biometrika
, vol.64
, pp. 247-254
-
-
Davies, R.B.1
-
12
-
-
24944532669
-
Hypothesis testing when the nuisance parameter is present only under the alternative
-
Daviese RB. 1987. Hypothesis testing when the nuisance parameter is present only under the alternative. Biometrika 73: 33-44.
-
(1987)
Biometrika
, vol.73
, pp. 33-44
-
-
Daviese, R.B.1
-
14
-
-
0002158185
-
Testing the adequacy of smooth transition autoregressive models
-
Eitrheim Ø, Teräsvirta T. 1996. Testing the adequacy of smooth transition autoregressive models. Journal of Econometrics 74: 59-75.
-
(1996)
Journal of Econometrics
, vol.74
, pp. 59-75
-
-
Eitrheim, Ø.1
Teräsvirta, E.2
-
15
-
-
0346207692
-
Market efficiency, long-term returns, and behavioral finance
-
Fama EF. 1998. Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics 49: 283-306.
-
(1998)
Journal of Financial Economics
, vol.49
, pp. 283-306
-
-
Fama, E.F.1
-
17
-
-
0000703669
-
Data transformations and self-exciting threshold autoregression
-
Ghaddar DK, Tong H. 1981. Data transformations and self-exciting threshold autoregression. Journal of the Royal Statistical Society C30: 238-248.
-
(1981)
Journal of the Royal Statistical Society
, vol.C30
, pp. 238-248
-
-
Ghaddar, D.K.1
Tong, H.2
-
18
-
-
0004165605
-
-
Econometric Society Monographs, 2nd edn. Cambridge University Press: New York
-
Godfrey LG. 1988. Misspecification Tests in Econometrics. Econometric Society Monographs, Vol. 16, 2nd edn. Cambridge University Press: New York.
-
(1988)
Misspecification Tests in Econometrics
, vol.16
-
-
Godfrey, L.G.1
-
19
-
-
32044449925
-
Generalized cross-validation as a method for choosing a good ridge parameter
-
Golub G, Heath M, Wahba G. 1979. Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21: 215-223.
-
(1979)
Technometrics
, vol.21
, pp. 215-223
-
-
Golub, G.1
Heath, M.2
Wahba, G.3
-
20
-
-
0030373966
-
Inference when a nuisance parameter is not identified under the null hypothesis
-
Hansen BE. 1996. Inference when a nuisance parameter is not identified under the null hypothesis. Econometrica 64: 413-430.
-
(1996)
Econometrica
, vol.64
, pp. 413-430
-
-
Hansen, B.E.1
-
23
-
-
0000497341
-
Computer automation of general-to-specific model selection procedures
-
Krolzig H-M, Hendry DF. 2001. Computer automation of general-to-specific model selection procedures. Journal of Economic Dynamics Control 25: 831-866.
-
(2001)
Journal of Economic Dynamics Control
, vol.25
, pp. 831-866
-
-
Krolzig, H.-M.1
Hendry, D.F.2
-
24
-
-
84948516717
-
Artificial neural networks: An econometric perspective
-
Kuan CM, White H. 1994. Artificial neural networks: an econometric perspective. Econometric Reviews 13: 1-91.
-
(1994)
Econometric Reviews
, vol.13
, pp. 1-91
-
-
Kuan, C.M.1
White, H.2
-
25
-
-
43949168783
-
Testing for negleted nonlinearity in time series models. A comparison of neural network methods alternative tests
-
Lee T-H, White H, Granger CWJ. 1993. Testing for negleted nonlinearity in time series models. A comparison of neural network methods alternative tests. Journal of Econometrics 56: 269-290.
-
(1993)
Journal of Econometrics
, vol.56
, pp. 269-290
-
-
Lee, T.-H.1
White, H.2
Cwj, G.3
-
28
-
-
0347354955
-
Entropy and predictability of stock market returns
-
Maasoumi E, Racine J. 2001. Entropy and predictability of stock market returns. Journal of Econometrics 107: 291-312.
-
(2001)
Journal of Econometrics
, vol.107
, pp. 291-312
-
-
Maasoumi, E.1
Racine, J.2
-
29
-
-
0001025418
-
Bayesian interpolation
-
MacKay DJC. 1992a. Bayesian interpolation. Neural Computation 4: 415-447.
-
(1992)
Neural Computation
, vol.4
, pp. 415-447
-
-
MacKay, D.J.C.1
-
30
-
-
0002704818
-
A practical Bayesian framework for backpropagation networks
-
MacKay DJC. 1992b. A practical Bayesian framework for backpropagation networks. Neural Computation 4: 448-472.
-
(1992)
Neural Computation
, vol.4
, pp. 448-472
-
-
MacKay, D.J.C.1
-
31
-
-
0028544395
-
Network information criterion - Determining the number of hidden units for an artificial neural network model
-
Murata N, Yoshizawa S, Amari S-I. 1994. Network information criterion - determining the number of hidden units for an artificial neural network model. IEEE Transactions on Neural Networks 5: 865-872.
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, pp. 865-872
-
-
Murata, N.1
Yoshizawa, S.2
Amari, S.-I.3
-
32
-
-
84993877356
-
Predictability of stock returns: Robustness and economic significance
-
Pesaran MH, Timmermann A. 1995. Predictability of stock returns: robustness and economic significance. Journal of Finance 50: 1201-1228.
-
(1995)
Journal of Finance
, vol.50
, pp. 1201-1228
-
-
Pesaran, M.H.1
Timmermann, A.2
-
33
-
-
0033435319
-
Nonlinear predictability of stock returns using financial and economic variables
-
Qi M. 1999. Nonlinear predictability of stock returns using financial and economic variables. Journal of Business and Economic and Statistics 17: 419-429.
-
(1999)
Journal of Business and Economic and Statistics
, vol.17
, pp. 419-429
-
-
Qi, M.1
-
34
-
-
0035638655
-
On the nonlinear predictability of stock returns using financial and economic variables
-
Racine J. 2001. On the nonlinear predictability of stock returns using financial and economic variables. Journal of Business and Economic Statistics 19: 380-382.
-
(2001)
Journal of Business and Economic Statistics
, vol.19
, pp. 380-382
-
-
Racine, J.1
-
35
-
-
1642389139
-
Forecasting with artificial neural network models
-
Stockholm School of Economics
-
Rech G. 2002. Forecasting with artificial neural network models. Working Paper Series in Economics and Finance 491, Stockholm School of Economics.
-
(2002)
Working Paper Series in Economics and Finance
, vol.491
-
-
Rech, G.1
-
37
-
-
0033365782
-
Neural model identification, variable selection, and model adequacy
-
Refenes APN, Zapranis AD. 1999. Neural model identification, variable selection, and model adequacy. Journal of Forecasting 18: 299-332.
-
(1999)
Journal of Forecasting
, vol.18
, pp. 299-332
-
-
Refenes, A.P.N.1
Zapranis, A.D.2
-
38
-
-
21844518145
-
A model selection approach to assessing the information in the term structure using linear models and artificial neural networks
-
Swanson NR, White H. 1995. A model selection approach to assessing the information in the term structure using linear models and artificial neural networks. Journal of Business and Economic Statistics 13: 265-275.
-
(1995)
Journal of Business and Economic Statistics
, vol.13
, pp. 265-275
-
-
Swanson, N.R.1
White, H.2
-
39
-
-
0031521391
-
Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models
-
Swanson NR, White H. 1997a. Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models. International Journal of Forecasting 13: 439-461.
-
(1997)
International Journal of Forecasting
, vol.13
, pp. 439-461
-
-
Swanson, N.R.1
White, H.2
-
40
-
-
0031329532
-
A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks
-
Swanson NR, White H. 1997b. A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks. Review of Economic and Statistics 79: 540-550.
-
(1997)
Review of Economic and Statistics
, vol.79
, pp. 540-550
-
-
Swanson, N.R.1
White, H.2
-
41
-
-
84923053681
-
Specification, estimation, and evaluation of smooth transition autoregressive models
-
Teräsvirta T. 1994. Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association 89: 208-218.
-
(1994)
Journal of the American Statistical Association
, vol.89
, pp. 208-218
-
-
Teräsvirta, T.1
-
42
-
-
84858533180
-
Determining the number of hidden units in a single hidden-layer neural network model
-
Bank of Norway
-
Teräsvirta T, Lin, C-FJ. 1993. Determining the number of hidden units in a single hidden-layer neural network model. Research Report 1993/7, Bank of Norway.
-
(1993)
Research Report
, vol.1993
, Issue.7
-
-
Teräsvirta, T.1
Lin, C.-F.J.2
-
43
-
-
0001281382
-
Model selection criteria and model selection tests in regression models
-
Teräsvirta T, Meilin I. 1986. Model selection criteria and model selection tests in regression models. Scandinavian Journal of Statistics 13: 159-171.
-
(1986)
Scandinavian Journal of Statistics
, vol.13
, pp. 159-171
-
-
Teräsvirta, T.1
Meilin, I.2
-
45
-
-
26944442012
-
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination
-
forthcoming
-
Teräsvirta T, van Dijk D, Medeiros M. 2005. Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: a re-examination. International Journal of Forecasting, forthcoming.
-
(2005)
International Journal of Forecasting
-
-
Teräsvirta, T.1
Van Dijk, D.2
Medeiros, M.3
-
46
-
-
84950945751
-
Nonparametric identification of nonlinear time series-selecting significant lags
-
Tjøstheim D, Auestad B. 1994. Nonparametric identification of nonlinear time series-selecting significant lags. Journal of the American Statistical Association 89: 1410-1419.
-
(1994)
Journal of the American Statistical Association
, vol.89
, pp. 1410-1419
-
-
Tjøstheim, D.1
Auestad, B.2
-
48
-
-
0034296647
-
Stationary and integrated autoregressive neural network processes
-
Trapletti A, Leisch F, Hornik K. 2000. Stationary and integrated autoregressive neural network processes. Neural Computation 12: 2427-2450.
-
(2000)
Neural Computation
, vol.12
, pp. 2427-2450
-
-
Trapletti, A.1
Leisch, F.2
Hornik, K.3
-
50
-
-
84963436542
-
Order choice in nonlinear autoregressive models
-
Vieu P. 1995. Order choice in nonlinear autoregressive models. Statistics 26: 307-328.
-
(1995)
Statistics
, vol.26
, pp. 307-328
-
-
Vieu, P.1
-
51
-
-
0000778985
-
Predicting sunspots and exchange rates with connectionist networks
-
Casdagli M, Eubank S (eds). Addison-Wesley: Reading, MA
-
Weigend A, Huberman B, Rumelhart D. 1992. Predicting sunspots and exchange rates with connectionist networks. In Nonlinear Modeling and Forecasting, Casdagli M, Eubank S (eds). Addison-Wesley: Reading, MA.
-
(1992)
Nonlinear Modeling and Forecasting
-
-
Weigend, A.1
Huberman, B.2
Rumelhart, D.3
-
52
-
-
0000095552
-
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
-
White H. 1980. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 48: 817-838.
-
(1980)
Econometrica
, vol.48
, pp. 817-838
-
-
White, H.1
-
53
-
-
0024944645
-
An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks
-
IEEE Press: New York
-
White H. 1989. An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks. In Proceedings of the International Joint Conference on Neural Networks. IEEE Press: New York; 451-455.
-
(1989)
Proceedings of the International Joint Conference on Neural Networks
, pp. 451-455
-
-
White, H.1
-
54
-
-
84972113785
-
A unified approach to robust, regression-based specification tests
-
Wooldridge JM. 1990. A unified approach to robust, regression-based specification tests. Econometric Theory 6: 17-43.
-
(1990)
Econometric Theory
, vol.6
, pp. 17-43
-
-
Wooldridge, J.M.1
-
55
-
-
0003080582
-
On subset selection in non-parametric stochastic regression
-
Yao Q, Tong H. 1994. On subset selection in non-parametric stochastic regression. Statistica Sinica 4: 51-70.
-
(1994)
Statistica Sinica
, vol.4
, pp. 51-70
-
-
Yao, Q.1
Tong, H.2
|