IDEAS home Printed from https://ideas.repec.org/p/ulb/ulbeco/2013-95543.html
   My bibliography  Save this paper

The Special Status of Mathematical Probability: A Historical Sketch

Author

Listed:
  • Xavier De Scheemaekere
  • Ariane Szafarz

Abstract

The history of the mathematical probability includes two phases: 1) From Pascal and Fermat to Laplace, the theory gained in application fields; 2) In the first half of the 20th Century, two competing axiomatic systems were respectively proposed by von Mises in 1919 and Kolmogorov in 1933. This paper places this historical sketch in the context of the philosophical complexity of the probability concept and explains the resounding success of Kolmogorov’s theory through its ability to avoid direct interpretation. Indeed, unlike experimental sciences, and despite its numerous applications, probability theory cannot be tested per se. Rather it relates to practical matters by means of transition hypotheses or bridging principles that match the structure of practical problems with abstract theory. In this respect probability theory has a very special status among scientific disciplines.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Xavier De Scheemaekere & Ariane Szafarz, 2009. "The Special Status of Mathematical Probability: A Historical Sketch," ULB Institutional Repository 2013/95543, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:ulb:ulbeco:2013/95543
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bénédicte Vidaillet & V. d'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    2. Shafer, Glenn, 1996. "The significance of Jacob Bernoulli's Ars Conjectandi for the philosophy of probability today," Journal of Econometrics, Elsevier, vol. 75(1), pages 15-32, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xavier De Scheemaekere & Kim Oosterlinck & Ariane Szafarz, 2014. "Issues in Identifying Economic Crises: Insights from History," Working Papers CEB 14-014, ULB -- Universite Libre de Bruxelles.
    2. Xavier De Scheemaekere & Ariane Szafarz, 2011. "The Inference Fallacy From Bernoulli to Kolmogorov," Working Papers CEB 11-006, ULB -- Universite Libre de Bruxelles.
    3. Xavier De Scheemaekere & Kim Oosterlinck & Ariane Szafarz, 2012. "Addressing Economic Crises: The Reference-Class Problem," Working Papers CEB 12-024, ULB -- Universite Libre de Bruxelles.
    4. Xavier De Scheemaekere & Ariane Szafarz, 2008. "Inverting Bernoulli's theorem: the original sin," Working Papers CEB 08-029.RS, ULB -- Universite Libre de Bruxelles.

    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. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    2. Karaman Örsal, Deniz Dilan & Droge, Bernd, 2014. "Panel cointegration testing in the presence of a time trend," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 377-390.
    3. Biqing Cai & Jiti Gao & Dag Tjøstheim, 2017. "A New Class of Bivariate Threshold Cointegration Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 288-305, April.
    4. Ignacio Lozano Espitia & Karen Rodríguez, 2009. "Assessing the Macroeconomic Effects of Fiscal," Borradores de Economia 5386, Banco de la Republica.
    5. Christian Kascha, 2012. "A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models," Econometric Reviews, Taylor & Francis Journals, vol. 31(3), pages 297-324.
    6. Robert Lehmann & Antje Weyh, 2016. "Forecasting Employment in Europe: Are Survey Results Helpful?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 81-117, September.
    7. Brüggemann, Ralf & Jentsch, Carsten & Trenkler, Carsten, 2016. "Inference in VARs with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 191(1), pages 69-85.
    8. Harald Schmidbauer & Angi Roesch & Erhan Uluceviz, 2013. "Market Connectedness: Spillovers, Information Flow, and Relative Market Entropy," Koç University-TUSIAD Economic Research Forum Working Papers 1320, Koc University-TUSIAD Economic Research Forum.
    9. Echavarría-Soto, Juan José & López, Enrique & Ocampo, Sergio & Rodríguez-Niño, Norberto, 2012. "Choques, instituciones laborales y desempleo en Colombia," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 18, pages 753-794, Banco de la Republica de Colombia.
    10. Cubadda, Gianluca & Hecq, Alain & Palm, Franz C., 2009. "Studying co-movements in large multivariate data prior to multivariate modelling," Journal of Econometrics, Elsevier, vol. 148(1), pages 25-35, January.
    11. Chan, Joshua C.C. & Eisenstat, Eric & Koop, Gary, 2016. "Large Bayesian VARMAs," Journal of Econometrics, Elsevier, vol. 192(2), pages 374-390.
    12. Sucarrat, Genaro & Grønneberg, Steffen & Escribano, Alvaro, 2016. "Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 582-594.
    13. Guérin, Pierre & Maurin, Laurent & Mohr, Matthias, 2015. "Trend-Cycle Decomposition Of Output And Euro Area Inflation Forecasts: A Real-Time Approach Based On Model Combination," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 363-393, March.
    14. Mauro Costantini & Ulrich Gunter & Robert M. Kunst, 2017. "Forecast Combinations in a DSGE‐VAR Lab," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(3), pages 305-324, April.
    15. Krätschell, Karoline & Schmidt, Torsten, 2013. "Long-run trends or short-run fluctuations What establishes the correlation between oil and food prices?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79798, Verein für Socialpolitik / German Economic Association.
    16. Baris Teke, 2013. "Effects of a Change in the Composition of IMKB 30 on Stock Performance," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 13(51), pages 21-57, April.
    17. Ana María Iregui & Jesús Otero, 2013. "A Spatiotemporal Analysis of Agricultural Prices: An Application to Colombian Data," Agribusiness, John Wiley & Sons, Ltd., vol. 29(4), pages 497-508, September.
    18. Imaginário, Susana & Vieira, Luís Sérgio & Jesus, Saul, 2013. "Subjective Well-being and Social Integration of College Students," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 1(3), pages 215-223.
    19. Cudjoe, Godsway & Breisinger, Clemens & Diao, Xinshen, 2010. "Local impacts of a global crisis: Food price transmission, consumer welfare and poverty in Ghana," Food Policy, Elsevier, vol. 35(4), pages 294-302, August.
    20. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo.

    More about this item

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • B16 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Quantitative and Mathematical
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C00 - Mathematical and Quantitative Methods - - General - - - General

    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:ulb:ulbeco:2013/95543. 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: Benoit Pauwels (email available below). General contact details of provider: https://edirc.repec.org/data/ecsulbe.html .

    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.