IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v6y1997i1p37-58.html

Optimized adaptive prediction

Author

Listed:
  • Carlo Grillenzoni

Abstract

No abstract is available for this item.

Suggested Citation

  • Carlo Grillenzoni, 1997. "Optimized adaptive prediction," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 6(1), pages 37-58, April.
  • Handle: RePEc:spr:stmapp:v:6:y:1997:i:1:p:37-58
    DOI: 10.1007/BF03178900
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF03178900
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF03178900?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Pagan, Adrian, 1980. "Some identification and estimation results for regression models with stochastically varying coefficients," Journal of Econometrics, Elsevier, vol. 13(3), pages 341-363, August.
    2. Weiss, Andrew A., 1984. "Systematic sampling and temporal aggregation in time series models," Journal of Econometrics, Elsevier, vol. 26(3), pages 271-281, December.
    3. Tjøstheim, Dag, 1986. "Estimation in nonlinear time series models," Stochastic Processes and their Applications, Elsevier, vol. 21(2), pages 251-273, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlo Grillenzoni, 2000. "Time-Varying Parameters Prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 52(1), pages 108-122, March.
    2. SILVESTRINI, Andrea & VEREDAS, David, 2005. "Temporal aggregation of univariate linear time series models," LIDAM Discussion Papers CORE 2005059, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Aadland, David & Huang, Kevin X. D., 2004. "Consistent high-frequency calibration," Journal of Economic Dynamics and Control, Elsevier, vol. 28(11), pages 2277-2295, October.
    4. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    5. Liebscher, Eckhard, 2003. "Strong convergence of estimators in nonlinear autoregressive models," Journal of Multivariate Analysis, Elsevier, vol. 84(2), pages 247-261, February.
    6. Kourentzes, Nikolaos & Petropoulos, Fotios & Trapero, Juan R., 2014. "Improving forecasting by estimating time series structural components across multiple frequencies," International Journal of Forecasting, Elsevier, vol. 30(2), pages 291-302.
    7. Christian, Müller, 2011. "The forward-bias puzzle: Still unsolved," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 605-610, October.
    8. Alexandre Petkovic & David Veredas, 2009. "Aggregation of linear models for panel data," Working Papers ECARES 2009-012, ULB -- Universite Libre de Bruxelles.
    9. G. Everaert, 2007. "Estimating Long-Run Relationships between Observed Integrated Variables by Unobserved Component Methods," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/452, Ghent University, Faculty of Economics and Business Administration.
    10. Bocart, Fabian & Hafner, Christian, 2012. "Volatility of price indices for heterogeneous goods," LIDAM Discussion Papers ISBA 2012019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    11. Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, University Library of Munich, Germany.
    12. Granger, C. W. J. & Siklos, Pierre L., 1995. "Systematic sampling, temporal aggregation, seasonal adjustment, and cointegration theory and evidence," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 357-369.
    13. Tjøstheim, Dag & Hufthammer, Karl Ove, 2013. "Local Gaussian correlation: A new measure of dependence," Journal of Econometrics, Elsevier, vol. 172(1), pages 33-48.
    14. Thomas Url, 1997. "Die Kosten des Paktes für Stabilität und Wachstum," WIFO Monatsberichte (monthly reports), WIFO, vol. 70(6), pages 373-383, June.
    15. de Jong, F.C.J.M. & Kemna, A. & Kloek, T., 1992. "A contribution to event study methodology with an application to the Dutch stock market," Other publications TiSEM 7805a40a-1e85-4621-ac05-0, Tilburg University, School of Economics and Management.
    16. Tommaso Proietti & Alessandra Luati, 2013. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 15, pages 334-362, Edward Elgar Publishing.
    17. Guðmundur Guðmundsson, 1998. "A model of inflation with variable time lags," Economics wp02, Department of Economics, Central bank of Iceland.
    18. Nnamdi Chinwendu Nwaeze & Kingsley Ikechukwu Okere & Izuchukwu Ogbodo & Obumneke Bob Muoneke & Ifeoma Nwakaego Sandra Ngini & Samuel Uchezuike Ani, 2023. "Dynamic linkages between tourism, economic growth, trade, energy demand and carbon emission: evidence from EU," Future Business Journal, Springer, vol. 9(1), pages 1-12, December.
    19. Francisco Blasques, 2014. "Transformed Polynomials For Nonlinear Autoregressive Models Of The Conditional Mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 218-238, May.
    20. Richard Heaney, 1998. "A Test of the cost‐of‐carry relationship using the London Metal Exchange lead contract," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 177-200, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:stmapp:v:6:y:1997:i:1:p:37-58. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.