IDEAS home Printed from https://ideas.repec.org/p/cte/dsrepe/3639.html
   My bibliography  Save this paper

El futuro de los métodos estadísticos

Author

Listed:
  • Peña, Daniel

Abstract

Este trabajo analiza cómo la creciente accesibilidad inmediata a grandes masas de datos, la mayor potencia con menor coste de los métodos de cálculo, el crecimiento de la demanda por las técnicas estadísticas y la emergente necesidad de combinar distintos tipos de información van a impulsar el avance de nuevos métodos estadísticos. Se concluye que es previsible un desarrollo importante de técnicas exploratorias multivariantes, de métodos de estimación más generales y flexibles, de una mejor evaluación de la incertidumbre al construir modelos estadísticos, de métodos de predicción multivariante y de metodologías para Meta-Análisis. Se estudian algunas implicaciones de estos avances en la estadística oficial, y en especial en la actividad de un Instituto Nacional de Estadística (lNE), resaltando cómo pueden contribuir a mejorar la calidad de la información suministrada por el INE y su servicio a la sociedad española.

Suggested Citation

  • Peña, Daniel, 1996. "El futuro de los métodos estadísticos," DES - Documentos de Trabajo. Estadística y Econometría. DS 3639, Universidad Carlos III de Madrid. Departamento de Estadística.
  • Handle: RePEc:cte:dsrepe:3639
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/bitstream/handle/10016/3639/ds960402.pdf?sequence=1
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McCulloch, Robert E. & Tsay, Ruey S., 1994. "Bayesian Inference of Trend and Difference-Stationarity," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 596-608, August.
    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. Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco & van Dijk, Herman K., 2012. "Combination schemes for turning point predictions," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 402-412.
    2. Ľluboš Pástor & Robert F. Stambaugh, 2001. "The Equity Premium and Structural Breaks," Journal of Finance, American Finance Association, vol. 56(4), pages 1207-1239, August.
    3. Cribari-Neto, Francisco, 1996. "On time series econometrics," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(Supplemen), pages 37-60.
    4. Hella, Heikki, 2003. "On robust ESACF identification of mixed ARIMA models," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2003_027.
    5. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    6. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    7. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.

    More about this item

    Keywords

    Computación estadística;

    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:cte:dsrepe:3639. 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: Ana Poveda (email available below). General contact details of provider: http://portal.uc3m.es/portal/page/portal/dpto_estadistica .

    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.