IDEAS home Printed from https://ideas.repec.org/a/bla/scjsta/v50y2023i1p3-12.html
   My bibliography  Save this article

A conversation with Elja Arjas (Helsinki, November 2021 and March 2022)

Author

Listed:
  • Jukka Corander

Abstract

Statistics as an independent scientific discipline is relatively young in Finland. Its active history stretches back roughly a century, with the past 50 years signifying a period of growth. Few other academics such as Elja Arjas, now professor emeritus at University of Helsinki, have played a prominent role in establishing statistics in Finland. This conversation tries to illuminate how this came to happen and what was needed to push statistics as a discipline to a firmer ground. We do not have a looking glass at our disposal but will nevertheless also try make some predictions about the future.

Suggested Citation

  • Jukka Corander, 2023. "A conversation with Elja Arjas (Helsinki, November 2021 and March 2022)," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 3-12, March.
    • Handle: RePEc:bla:scjsta:v:50:y:2023:i:1:p:3-12
    DOI: 10.1111/sjos.12612
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/sjos.12612
    Download Restriction: no
    File URL: https://libkey.io/10.1111/sjos.12612?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
    ---><---

    References listed on IDEAS

    as
    1. Elja Arjas, 2011. "On Future Directions in Statistical Methodologies – Some Speculations," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 38(2), pages 185-194, June.
    2. Arjas, Elja & Haara, Pentti & Norros, Ikka, 1992. "Filtering the histories of a partially observed marked point process," Stochastic Processes and their Applications, Elsevier, vol. 40(2), pages 225-250, March.
    3. Kari Auranen & Martin Eichner & Helena Käyhty & Aino K. Takala & Elja Arjas, 1999. "A Hierarchical Bayesian Model to Predict the Duration of Immunity to Haemophilus Influenzas Type B," Biometrics, The International Biometric Society, vol. 55(4), pages 1306-1313, December.
    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. Vanessa Didelez, 2008. "Graphical models for marked point processes based on local independence," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 245-264, February.
    2. Erhan Bayraktar & Michael Ludkovski, 2010. "Inventory management with partially observed nonstationary demand," Annals of Operations Research, Springer, vol. 176(1), pages 7-39, April.
    3. Jin Feng, 2002. "A Stochastic Filtering Approach To Survival Analysis," Statistical Inference for Stochastic Processes, Springer, vol. 5(1), pages 23-53, January.
    4. Vincent J. Carey & Carol J. Baker & Richard Platt, 2001. "Bayesian Inference on Protective Antibody Levels Using Case‐Control Data," Biometrics, The International Biometric Society, vol. 57(1), pages 135-142, March.
    5. Brandejsky, Adrien & de Saporta, Benoîte & Dufour, François, 2013. "Optimal stopping for partially observed piecewise-deterministic Markov processes," Stochastic Processes and their Applications, Elsevier, vol. 123(8), pages 3201-3238.
    6. Ceci, Claudia & Gerardi, Anna, 1998. "Partially observed control of a Markov jump process with counting observations: equivalence with the separated problem," Stochastic Processes and their Applications, Elsevier, vol. 78(2), pages 245-260, November.
    7. Bayraktar, Erhan & Ludkovski, Michael, 2009. "Sequential tracking of a hidden Markov chain using point process observations," Stochastic Processes and their Applications, Elsevier, vol. 119(6), pages 1792-1822, June.
    8. Browne, Sid & Bunge, John, 1995. "Random record processes and state dependent thinning," Stochastic Processes and their Applications, Elsevier, vol. 55(1), pages 131-142, January.

    More about this item

    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:bla:scjsta:v:50:y:2023:i:1:p:3-12. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0303-6898 .

    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.