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

Author

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  • 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
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    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. Szczepocki Piotr, 2023. "Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(4), pages 44-58, December.
    4. 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.
    5. 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.
    6. 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.
    7. Bretó, Carles, 2014. "On idiosyncratic stochasticity of financial leverage effects," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 20-26.
    8. 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.
    9. 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.
    10. 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.
    11. Carles Bret'o, 2013. "On idiosyncratic stochasticity of financial leverage effects," Papers 1312.5496, arXiv.org.
    12. 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.

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