The NCSTAR model as an alternative to the GWR model

Physica A: Statistical Mechanics and its Applications

Volumn 355, Issue 1, 2005, Pages 77-84

  Lebreton, Marie ^a  

^a Centre National de la Recherche Scientifique   (France)

Author keywords

Neural network models; Spatial heterogeneity; Statistical inference

Indexed keywords

COMPUTER ARCHITECTURE; DATA ACQUISITION; ECONOMICS; FINANCE; REGRESSION ANALYSIS; STATISTICAL METHODS;

ECONOMIC VARIABLES; NEURAL NETWORK MODELS; SPATIAL HETEROGENEITY; STATISTICAL INTERFERENCE;

NEURAL NETWORKS;

EID: 21444461709     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2005.02.069     Document Type: Conference Paper

References (23)

1. L. Anselin, Spatial Econometrics: Methods and Models, Kluwer, Dordrecht, 1988, 284p.
2. E. Casetti Generating models by the expansion method applications to geographic research Geogra. Anal. 4 1972 81 91
3. D.P. McMillen One hundred fifty years of land values in chicago a nonparametric approach J. Urban Econ. 40 1996 100 124
4. C. Brunsdon, A.S. Fotheringham, and M.E. Charlton Geographically weighting regression a method for exploring spatial nonstationarity Geogra. Anal. 28 1996 281 298
5. X. Gao, Y. Asami, C.J. Chung, An empirical evaluation of hedonic regression models, commission IV, WGIV 1, Symposium on Geospatial Theory, Processing and Applications, Ottawa, 2002.
6. C. Brunsdon, A.S. Fotheringham, and M.E. Charlton Some notes on parametric significance tests for geographically weighted regression J. Reg. Sci. 39 3 1999 497 524
7. C. Araujo, Spatial Patterns of Non-Agricultural Employment Growth in Rural Mexico during the 90s, http://are.berkeley.edu/ ∼ araujo, 2002.
8. Y. Huang, and Y. Leung Analysing regional industrialisation in Jiangsu province using geographically weighted regression J. Geogra. Syst. 4 2002 233 249
9. C. Brunsdon, A.S. Fotheringham, and M.E. Charlton Spatial nonstationarity and autoregressive models Environ. Plann. A 30 1998 957 973
10. Y. Leung, C.H. Mei, and W.X. Zhang Statistical tests for spatial nonstationarity based on the geographically weighted regression model Environ. Plann. A 32 2000 9 32
11. M.C. Medeiros, A. Veiga, A Flexible Coefficient Smooth Transition Time Series Model, Working Paper Series in Economics and Finance 361, Stockhlom School of Economics, 2000.
12. K. Hornik, M. Stinchcombe, and H. White Multi-layer feedforward networks are universal approximators Neural Networks 2 1989 359 366
13. K. Hornik, M. Stinchcombe, and H. White Universal approximation of an unknown mapping and its derivatives using multi-layer feedforward networks Neural Networks 3 1990 551 560
14. G. Cybenko Approximation by superpositions of a sigmoid function Math. Controls, Signals Syst. 2 1989 303 314
15. M.C. Medeiros, A. Veiga, C.E. Pedreira, Modelling exchange rates: smooth transitions, neural networks and linear models, IEEE Trans. Neural Networks, Special Issue on Financial Engineering, forthcoming, 2001.
16. J.P. Lesage, The Theory and Practice of Spatial Econometrics, http://www.spatial-econometrics.com/html/sbook.pdf, 1999.
17. D.P. McMillen, and J.F. McDonald A nonparametrc analysis of employment density in a polycentric city J. Reg. Sci. 37 1997 591 612
18. M.C. Medeiros, A. Veiga, Diagnostic checking in a flexible nonlinear time series model, J. Time Ser. Anal., forthcoming, 2001.
19. C.M. Bishop, Neural Network for Pattern Recognition, Oxford University Press, Oxford, 1995, 500p.
20. G. Rech, T. Teräsvirta, R. Tschernig, A Simple Variable Selection Technique for Nonlinear Models, Working Paper Series in Economics and Finance 296, Stockhlom School of Economics, 1999.
21. R. Luukkonen, R. Saikkonen, and T. Teräsvirta Testing linearity in univariate time series models Scand. J. Statist. 15 1988 161 175
22. T. Teräsvirta, D. Tjostheim, C.W.J. Granger, Aspects of modelling nonlinear time series, in: R.F. Engle, D.L. McFadden (Eds.), Handbook of Econometrics, vol. IV, 1994 (Chapter 48).
23. D. Harrison, and D.L. Rubinfeld Hedonic prices and the demand for clean air J. Environ. Econ. Manage. 5 1978 81 102