IDEAS home Printed from https://ideas.repec.org/a/bla/scjsta/v44y2017i3p666-683.html
   My bibliography  Save this article

Fast Inference for Network Models of Infectious Disease Spread

Author

Listed:
  • Razvan G. Romanescu
  • Rob Deardon

Abstract

No abstract is available for this item.

Suggested Citation

  • Razvan G. Romanescu & Rob Deardon, 2017. "Fast Inference for Network Models of Infectious Disease Spread," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(3), pages 666-683, September.
    • Handle: RePEc:bla:scjsta:v:44:y:2017:i:3:p:666-683
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/sjos.12270
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chris Groendyke & David Welch & David R. Hunter, 2011. "Bayesian Inference for Contact Networks Given Epidemic Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 38(3), pages 600-616, September.
    2. Chris Groendyke & David Welch & David R. Hunter, 2012. "A Network-based Analysis of the 1861 Hagelloch Measles Data," Biometrics, The International Biometric Society, vol. 68(3), pages 755-765, September.
    3. Tom Britton & Philip D. O'Neill, 2002. "Bayesian Inference for Stochastic Epidemics in Populations with Random Social Structure," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 29(3), pages 375-390, September.
    4. Yingcun Xia & Julia R. Gog & Bryan T. Grenfell, 2005. "Semiparametric estimation of the duration of immunity from infectious disease time series: influenza as a case‐study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(3), pages 659-672, June.
    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. Chris Groendyke & David Welch & David R. Hunter, 2012. "A Network-based Analysis of the 1861 Hagelloch Measles Data," Biometrics, The International Biometric Society, vol. 68(3), pages 755-765, September.
    2. Kimberly M. Thompson, 2016. "Evolution and Use of Dynamic Transmission Models for Measles and Rubella Risk and Policy Analysis," Risk Analysis, John Wiley & Sons, vol. 36(7), pages 1383-1403, July.
    3. Xing Ju Lee & Christopher C. Drovandi & Anthony N. Pettitt, 2015. "Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets," Biometrics, The International Biometric Society, vol. 71(1), pages 198-207, March.
    4. Tom Britton, 2020. "Epidemic models on social networks—With inference," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 222-241, August.
    5. Gail E. Potter & Niel Hens, 2013. "A penalized likelihood approach to estimate within-household contact networks from egocentric data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 629-648, August.
    6. Artalejo, J.R. & Economou, A. & Lopez-Herrero, M.J., 2015. "The stochastic SEIR model before extinction: Computational approaches," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 1026-1043.
    7. Xiang, Fei & Neal, Peter, 2014. "Efficient MCMC for temporal epidemics via parameter reduction," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 240-250.
    8. Stephen E. Chick & Sada Soorapanth & James S. Koopman, 2003. "Inferring Infection Transmission Parameters That Influence Water Treatment Decisions," Management Science, INFORMS, vol. 49(7), pages 920-935, July.
    9. Kaxiras, Efthimios & Neofotistos, Georgios & Angelaki, Eleni, 2020. "The first 100 days: Modeling the evolution of the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    10. Kerstin Awiszus & Thomas Knispel & Irina Penner & Gregor Svindland & Alexander Vo{ss} & Stefan Weber, 2022. "Modeling and Pricing Cyber Insurance -- Idiosyncratic, Systematic, and Systemic Risks," Papers 2209.07415, arXiv.org, revised Dec 2022.
    11. Barauskaite, Kristina & Nguyen, Anh D.M., 2021. "Global intersectoral production network and aggregate fluctuations," Economic Modelling, Elsevier, vol. 102(C).
    12. Nathan B. Wikle & Ephraim M. Hanks & David P. Hughes, 2019. "A Dynamic Individual-Based Model for High-Resolution Ant Interactions," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(4), pages 589-609, December.
    13. Cornelius Fritz & Co-Pierre Georg & Angelo Mele & Michael Schweinberger, 2024. "Vulnerability Webs: Systemic Risk in Software Networks," Papers 2402.13375, arXiv.org, revised Nov 2024.

    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:44:y:2017:i:3:p:666-683. 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.