IDEAS home Printed from https://ideas.repec.org/r/bla/jorssa/v162y1999i1p121-129.html
   My bibliography  Save this item

Bayesian inference for partially observed stochastic epidemics

Citations

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


Cited by:

  1. Kypraios, Theodore, 2009. "A note on maximum likelihood estimation of the initial number of susceptibles in the general stochastic epidemic model," Statistics & Probability Letters, Elsevier, vol. 79(18), pages 1972-1976, September.
  2. repec:plo:pcbi00:1003587 is not listed on IDEAS
  3. Nik J Cunniffe & Francisco F Laranjeira & Franco M Neri & R Erik DeSimone & Christopher A Gilligan, 2014. "Cost-Effective Control of Plant Disease When Epidemiological Knowledge Is Incomplete: Modelling Bahia Bark Scaling of Citrus," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-14, August.
  4. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," CESifo Working Paper Series 8977, CESifo.
  5. Sawitree Boonpatcharanon & Jane M Heffernan & Hanna Jankowski, 2022. "Estimating the basic reproduction number at the beginning of an outbreak," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-24, June.
  6. Li, Ning & Qian, Guoqi & Huggins, Richard, 2006. "A latent variable model for estimating disease transmission rate from data on household outbreaks," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3354-3368, July.
  7. Camelia R Walker & Joshua V Ross & Andrew J Black, 2017. "Inference of epidemiological parameters from household stratified data," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.
  8. repec:plo:pcbi00:1004869 is not listed on IDEAS
  9. Frank Ball & Peter Neal, 2025. "Fast likelihood calculations for emerging epidemics," Statistical Inference for Stochastic Processes, Springer, vol. 28(1), pages 1-25, April.
  10. Ross, J.V. & Pollett, P.K., 2007. "On costs and decisions in population management," Ecological Modelling, Elsevier, vol. 201(1), pages 60-66.
  11. Gyanendra Pokharel & Rob Deardon, 2022. "Emulation‐based inference for spatial infectious disease transmission models incorporating event time uncertainty," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 455-479, March.
  12. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
  13. McKinley, Trevelyan J. & Ross, Joshua V. & Deardon, Rob & Cook, Alex R., 2014. "Simulation-based Bayesian inference for epidemic models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 434-447.
  14. repec:plo:pcbi00:1000683 is not listed on IDEAS
  15. Xiang, Fei & Neal, Peter, 2014. "Efficient MCMC for temporal epidemics via parameter reduction," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 240-250.
  16. Yang, Yang & Longini Jr., Ira M. & Elizabeth Halloran, M., 2007. "A data-augmentation method for infectious disease incidence data from close contact groups," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6582-6595, August.
  17. Ross, J.V., 2012. "On parameter estimation in population models III: Time-inhomogeneous processes and observation error," Theoretical Population Biology, Elsevier, vol. 82(1), pages 1-17.
  18. Karen M Ong & Michael S Phillips & Charles S Peskin, 2020. "A mathematical model and inference method for bacterial colonization in hospital units applied to active surveillance data for carbapenem-resistant enterobacteriaceae," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-32, November.
  19. Ioannis Andrianakis & Ian R Vernon & Nicky McCreesh & Trevelyan J McKinley & Jeremy E Oakley & Rebecca N Nsubuga & Michael Goldstein & Richard G White, 2015. "Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda," PLOS Computational Biology, Public Library of Science, vol. 11(1), pages 1-18, January.
  20. Ross, J.V. & Pagendam, D.E. & Pollett, P.K., 2009. "On parameter estimation in population models II: Multi-dimensional processes and transient dynamics," Theoretical Population Biology, Elsevier, vol. 75(2), pages 123-132.
  21. Timothy Kinyanjui & Jo Middleton & Stefan Güttel & Jackie Cassell & Joshua Ross & Thomas House, 2018. "Scabies in residential care homes: Modelling, inference and interventions for well-connected population sub-units," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-24, March.
  22. Rowland G. Seymour & Theodore Kypraios & Philip D. O’Neill & Thomas J. Hagenaars, 2021. "A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1323-1343, November.
  23. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
  24. Golightly, Andrew & Bradley, Emma & Lowe, Tom & Gillespie, Colin S., 2019. "Correlated pseudo-marginal schemes for time-discretised stochastic kinetic models," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 92-107.
  25. Annemarie Bouma & Ivo Claassen & Ketut Natih & Don Klinkenberg & Christl A Donnelly & Guus Koch & Michiel van Boven, 2009. "Estimation of Transmission Parameters of H5N1 Avian Influenza Virus in Chickens," PLOS Pathogens, Public Library of Science, vol. 5(1), pages 1-13, January.
  26. David A Rasmussen & Oliver Ratmann & Katia Koelle, 2011. "Inference for Nonlinear Epidemiological Models Using Genealogies and Time Series," PLOS Computational Biology, Public Library of Science, vol. 7(8), pages 1-11, August.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.