IDEAS home Printed from https://ideas.repec.org/a/bes/jnlasa/v106i494y2011p440-451.html
   My bibliography  Save this article

Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Lévy Noise

Author

Listed:
  • Bhadra, Anindya
  • Ionides, Edward L.
  • Laneri, Karina
  • Pascual, Mercedes
  • Bouma, Menno
  • Dhiman, Ramesh C.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bhadra, Anindya & Ionides, Edward L. & Laneri, Karina & Pascual, Mercedes & Bouma, Menno & Dhiman, Ramesh C., 2011. "Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Lévy Noise," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 440-451.
    • Handle: RePEc:bes:jnlasa:v:106:i:494:y:2011:p:440-451
    as

    Download full text from publisher

    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2011.ap10323
    File Function: full text
    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.

    Citations

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


    Cited by:

    1. Lux, Thomas, 2022. "Inference for Nonlinear State Space Models: A Comparison of Different Methods applied to Markov-Switching Multifractal Models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 69-95.
    2. Jason K. Blackburn & Holly H. Ganz & José Miguel Ponciano & Wendy C. Turner & Sadie J. Ryan & Pauline Kamath & Carrie Cizauskas & Kyrre Kausrud & Robert D. Holt & Nils Chr. Stenseth & Wayne M. Getz, 2019. "Modeling R 0 for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones," IJERPH, MDPI, vol. 16(6), pages 1-14, March.
    3. Rachel E. Baker & Ayesha S. Mahmud & C. Jessica E. Metcalf, 2018. "Dynamic response of airborne infections to climate change: predictions for varicella," Climatic Change, Springer, vol. 148(4), pages 547-560, June.
    4. Sun, Libo & Lee, Chihoon & Hoeting, Jennifer A., 2015. "A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations," Computational Statistics & Data Analysis, Elsevier, vol. 84(C), pages 54-67.
    5. Szczepocki Piotr, 2020. "Application of iterated filtering to stochastic volatility models based on non-Gaussian Ornstein-Uhlenbeck process," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 173-187, June.
    6. Bretó, Carles, 2014. "On idiosyncratic stochasticity of financial leverage effects," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 20-26.
    7. Lux, Thomas, 2018. "Inference for nonlinear state space models: A comparison of different methods applied to Markov-switching multifractal models," Economics Working Papers 2018-07, Christian-Albrechts-University of Kiel, Department of Economics.
    8. Soma Sarkar & Vinay Gangare & Poonam Singh & Ramesh C. Dhiman, 2019. "Shift in Potential Malaria Transmission Areas in India, Using the Fuzzy-Based Climate Suitability Malaria Transmission (FCSMT) Model under Changing Climatic Conditions," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    9. Wang, Lei & Teng, Zhidong & Ji, Chunyan & Feng, Xiaomei & Wang, Kai, 2019. "Dynamical behaviors of a stochastic malaria model: A case study for Yunnan, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 435-454.
    10. Carles Bret'o, 2013. "On idiosyncratic stochasticity of financial leverage effects," Papers 1312.5496, arXiv.org.
    11. Piotr Szczepocki, 2020. "Application of iterated filtering to stochastic volatility models based on non-Gaussian Ornstein-Uhlenbeck process," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 173-187, June.

    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:bes:jnlasa:v:106:i:494:y:2011:p:440-451. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jasa/index.cfm?fuseaction=main .

    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.