Adaptive estimates for autoregressive processes
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DOI: 10.1007/BF02504731
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Cited by:
- Potscher, Benedikt M., 1995. "Comment on 'Adaptive estimation in time series regression models' by D.G. Steigerwald," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 123-129.
- Robinson, P.M., 2010. "Efficient estimation of the semiparametric spatial autoregressive model," Journal of Econometrics, Elsevier, vol. 157(1), pages 6-17, July.
- Peter Robinson, 2006. "Efficient estimation of the semiparametric spatial autoregressive model," CeMMAP working papers CWP08/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Marc Hallin & Abdeslam Serroukh, 1998.
"Adaptive Estimation of the Lag of a Long–memory Process,"
Statistical Inference for Stochastic Processes, Springer, vol. 1(2), pages 111-129, May.
- Marc Hallin & Abdeslam Serroukh, 1999. "Adaptive estimation of the lag of a long-memory process," ULB Institutional Repository 2013/2085, ULB -- Universite Libre de Bruxelles.
- Gupta, A, 2015. "Nonparametric specification testing via the trinity of tests," Economics Discussion Papers 15619, University of Essex, Department of Economics.
- Helmut Rieder & Matthias Kohl & Peter Ruckdeschel, 2008. "The cost of not knowing the radius," Statistical Methods & Applications, Springer;SocietĂ Italiana di Statistica, vol. 17(1), pages 13-40, February.
- Lee, Jungyoon & Robinson, Peter M., 2020. "Adaptive inference on pure spatial models," Journal of Econometrics, Elsevier, vol. 216(2), pages 375-393.
- Peter M Robinson, 2009. "Developments in the Analysis of Spatial Data," STICERD - Econometrics Paper Series 531, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Robinson, Peter, 2004. "Efficiency improvements in inference on stationary and nonstationary fractional time series," LSE Research Online Documents on Economics 2126, London School of Economics and Political Science, LSE Library.
- Peter M Robinson, 2004. "Efficiency Improvements in Inference on Stationary and Nonstationary Fractional Time Series," STICERD - Econometrics Paper Series 480, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Meintanis, S. G. & Donatos, G. S., 1999. "Finite-sample performance of alternative estimators for autoregressive models in the presence of outliers," Computational Statistics & Data Analysis, Elsevier, vol. 31(3), pages 323-339, September.
- Tata Subba Rao & Granville Tunnicliffe Wilson & P. M. Robinson & L. Taylor, 2017.
"Adaptive Estimation in Multiple Time Series With Independent Component Errors,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 191-203, March.
- Robinson, Peter & Taylor, Luke, 2017. "Adaptive estimation in multiple time series with independent component errors," LSE Research Online Documents on Economics 68345, London School of Economics and Political Science, LSE Library.
- Haoying Wang, 2018. "Pricing used books on Amazon.com: a spatial approach to price dispersion," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(1), pages 99-117, January.
- Gupta, Abhimanyu, 2018.
"Nonparametric specification testing via the trinity of tests,"
Journal of Econometrics, Elsevier, vol. 203(1), pages 169-185.
- Gupta, A, 2015. "Nonparametric specification testing via the trinity of tests," Economics Discussion Papers 23824, University of Essex, Department of Economics.
- Peter M Robinson, 2007. "Efficient Estimation of the SemiparametricSpatial Autoregressive Model," STICERD - Econometrics Paper Series 515, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Robinson, Peter, 2008. "Developments in the analysis of spatial data," LSE Research Online Documents on Economics 25473, London School of Economics and Political Science, LSE Library.
- repec:esx:essedp:774 is not listed on IDEAS
- Robinson, Peter M., 2007. "Efficient estimation of the semiparametric spatial autoregressive model," LSE Research Online Documents on Economics 4535, London School of Economics and Political Science, LSE Library.
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