A second-order iterated smoothing algorithm
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[1] James C. Spall,et al. Introduction to stochastic search and optimization - estimation, simulation, and control , 2003, Wiley-Interscience series in discrete mathematics and optimization.
[2] Ajay Jasra,et al. Parameter Estimation in Hidden Markov Models With Intractable Likelihoods Using Sequential Monte Carlo , 2013, 1311.4117.
[3] A. Doucet,et al. Derivative-Free Estimation of the Score Vector and Observed Information Matrix with Application to State-Space Models , 2013, 1304.5768.
[4] S. Wood. Statistical inference for noisy nonlinear ecological dynamic systems , 2010, Nature.
[5] G. Macdonald. The Epidemiology and Control of Malaria. , 1957 .
[6] P. Kloeden,et al. Numerical Solution of Stochastic Differential Equations , 1992 .
[7] David Welch,et al. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems , 2009, Journal of The Royal Society Interface.
[8] E L Ionides,et al. Inference for nonlinear dynamical systems , 2006, Proceedings of the National Academy of Sciences.
[9] M. Pascual,et al. Inapparent infections and cholera dynamics , 2008, Nature.
[10] A. Doucet,et al. Particle Markov chain Monte Carlo methods , 2010 .
[11] Edward L. Ionides,et al. Plug-and-play inference for disease dynamics: measles in large and small populations as a case study , 2009, Journal of The Royal Society Interface.
[12] Aaron A. King,et al. Time series analysis via mechanistic models , 2008, 0802.0021.
[13] Nicolas Chopin,et al. SMC2: an efficient algorithm for sequential analysis of state space models , 2011, 1101.1528.
[14] M. Pascual,et al. The Potential Elimination of Plasmodium vivax Malaria by Relapse Treatment: Insights from a Transmission Model and Surveillance Data from NW India , 2013, PLoS neglected tropical diseases.
[15] Ioannis G. Kevrekidis,et al. Equation-free: The computer-aided analysis of complex multiscale systems , 2004 .
[16] J. Dushoff,et al. Inferring the causes of the three waves of the 1918 influenza pandemic in England and Wales , 2013, Proceedings of the Royal Society B: Biological Sciences.
[17] P. Rohani,et al. Resolving pertussis immunity and vaccine effectiveness using incidence time series , 2012, Expert review of vaccines.
[18] O. Cappé,et al. Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state space models , 2006, math/0609514.
[19] Harold J. Kushner,et al. wchastic. approximation methods for constrained and unconstrained systems , 1978 .
[20] Johan Dahlin,et al. Particle Metropolis–Hastings using gradient and Hessian information , 2013, Statistics and Computing.
[21] Dao Nguyen,et al. Statistical Inference for Partially Observed Markov Processes via the R Package pomp , 2015, 1509.00503.
[22] B T Grenfell,et al. Noisy Clockwork: Time Series Analysis of Population Fluctuations in Animals , 2001, Science.
[23] C. Steiner,et al. Identifying the Interaction Between Influenza and Pneumococcal Pneumonia Using Incidence Data , 2013, Science Translational Medicine.
[24] Sumeetpal S. Singh,et al. Particle approximations of the score and observed information matrix in state space models with application to parameter estimation , 2011 .
[25] Fabrice Carrat,et al. Explaining rapid reinfections in multiple-wave influenza outbreaks: Tristan da Cunha 1971 epidemic as a case study , 2011, Proceedings of the Royal Society B: Biological Sciences.
[26] E. Ionides,et al. Inference for dynamic and latent variable models via iterated, perturbed Bayes maps , 2015, Proceedings of the National Academy of Sciences.
[27] S. Altizer,et al. Resolving the roles of immunity, pathogenesis, and immigration for rabies persistence in vampire bats , 2013, Proceedings of the National Academy of Sciences.
[28] A. Doucet,et al. A Tutorial on Particle Filtering and Smoothing: Fifteen years later , 2008 .
[29] Eric Moulines,et al. Comparison of resampling schemes for particle filtering , 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..
[30] E. Ionides,et al. Dynamic Variation in Sexual Contact Rates in a Cohort of HIV-Negative Gay Men. , 2015, American journal of epidemiology.
[31] J. Botella de Maglia,et al. [Prevention of malaria]. , 1999, Revista clinica espanola.
[32] Mercedes Pascual,et al. Forcing Versus Feedback: Epidemic Malaria and Monsoon Rains in Northwest India , 2010, PLoS Comput. Biol..
[33] N. Whiteley. Stability properties of some particle filters , 2011, 1109.6779.
[34] N. Grassly,et al. The role of older children and adults in wild poliovirus transmission , 2014, Proceedings of the National Academy of Sciences.
[35] Mark M. Tanaka,et al. Sequential Monte Carlo without likelihoods , 2007, Proceedings of the National Academy of Sciences.
[36] C. Sokhna,et al. Dynamical malaria models reveal how immunity buffers effect of climate variability , 2015, Proceedings of the National Academy of Sciences.
[37] P. Fearnhead,et al. Particle Approximations of the Score and Observed Information Matrix for Parameter Estimation in State–Space Models With Linear Computational Cost , 2013, 1306.0735.
[38] Aaron A. King,et al. Immune Boosting Explains Regime-Shifts in Prevaccine-Era Pertussis Dynamics , 2013, PloS one.
[39] Pejman Rohani,et al. Statistical Inference for Multi-Pathogen Systems , 2011, PLoS Comput. Biol..
[40] D. Cummings,et al. Deciphering the impacts of vaccination and immunity on pertussis epidemiology in Thailand , 2013, Proceedings of the National Academy of Sciences.
[41] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[42] J. Dushoff,et al. Effects of School Closure on Incidence of Pandemic Influenza in Alberta, Canada , 2012 .
[43] A. King,et al. Unraveling the Transmission Ecology of Polio , 2015, PLoS Biology.
[44] Pejman Rohani,et al. Avoidable errors in the modelling of outbreaks of emerging pathogens, with special reference to Ebola , 2014, Proceedings of the Royal Society B: Biological Sciences.
[45] Anindya Bhadra,et al. Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Lévy Noise , 2011 .
[46] Yves F. Atchad'e,et al. Iterated filtering , 2009, 0902.0347.