Statistical Science

Discussion of “Feature Matching in Time Series Modeling” by Y. Xia and H. Tong

Edward L. Ionides

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Statist. Sci., Volume 26, Number 1 (2011), 49-52.

First available in Project Euclid: 9 June 2011

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Ionides, Edward L. Discussion of “Feature Matching in Time Series Modeling” by Y. Xia and H. Tong. Statist. Sci. 26 (2011), no. 1, 49--52. doi:10.1214/11-STS345C.

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  • Bhadra, A. (2010). Discussion of ‘Particle Markov chain Monte Carlo methods’ by C. Andrieu, A. Doucet and R. Holenstein. J. R. Stat. Soc. Ser. B Stat. Methodol. 72 314–315.
  • Bjørnstad, O. N. and Grenfell, B. T. (2001). Noisy clockwork: Time series analysis of population fluctuations in animals. Science 293 638–643.
  • Bretó, C., He, D., Ionides, E. L. and King, A. A. (2009). Time series analysis via mechanistic models. Ann. Appl. Stat. 3 319–348.
  • Brillinger, D. R. (2008). The 2005 Neyman lecture: Dynamic indeterminism in science. Statist. Sci. 23 48–69.
  • Brillinger, D., Guckenheimer, J., Guttorp, P. and Oster, G. (1980). Empirical modelling of population time series data: The case of age and density dependent vital rates. Lectures Math. Life Sci. 13 65–90.
  • Gurney, W. S. C., Blythe, S. P. and Nisbet, R. M. (1980). Nicholson’s blowflies revisited. Nature 287 17–21.
  • Guttorp, P. M. (1981). Statistical modelling of population processes. Ph.D. thesis, Univ. California, Berkeley.
  • He, D., Ionides, E. L. and King, A. A. (2010). Plug-and-play inference for disease dynamics: Measles in large and small towns as a case study. J. Roy. Soc. Interface 7 271–283.
  • Ionides, E. L., Bretó, C. and King, A. A. (2006). Inference for nonlinear dynamical systems. Proc. Natl. Acad. Sci. USA 103 18438–18443.
  • Ionides, E. L., Bretó, C. and King, A. A. (2008). Modeling disease dynamics: Cholera as a case study. In Statistical Advances in the Biomedical Sciences ( A. Biswas, S. Datta, J. Fine and M. Segal, eds.) 123–140. Wiley, Hoboken.
  • King, A. A., Ionides, E. L., Bretó, C. M., Ellner, S., Kendall, B., Wearing, H., Ferrari, M. J., Lavine, M. and Reuman, D. C. (2010). pomp: Statistical inference for partially observed Markov processes. R package.
  • King, A. A., Ionides, E. L., Pascual, M. and Bouma, M. J. (2008). Inapparent infections and cholera dynamics. Nature 454 877–880.
  • Laneri, K., Bhadra, A., Ionides, E. L., Bouma, M., Yadav, R., Dhiman, R. and Pascual, M. (2010). Forcing versus feedback: Epidemic malaria and monsoon rains in NW India. PLoS Comput. Biol. 6 e1000898.
  • Wood, S. N. (2010). Statistical inference for noisy nonlinear ecological dynamic systems. Nature 466 1102–1104.