期刊文献+

甲型H1N1流感的死亡率高吗——Bayes计量分析框架下的建模与估算 被引量:3

Does Pandemic Influenza HlNl Has a High Mortality Rate—An Analysis of Modeling and Estimation in Bayesian Econometrics Framework
原文传递
导出
摘要 在全球甲型H1N1流感大流行背景下,本文在充分考虑各国甲流感死亡率可能存在个体混合效应、独立效应、相关效应及空间相关效应基础上,运用Bayes计量分析框架下的模型选择标准确定描述各国甲流感死亡率的最优模型,并基于该模型对不同国家甲流感死亡率进行估算。结果显示:个体独立、空间相关效应模型能很好拟合各国甲流感疫情统计数据,利用该模型估算的全球甲流感平均死亡率为0.577%。 In the context of the population of Pandemic Influenza H1N1 in the world, we think of the possible mixed effects, independent effects, correlated effects and spatial correlated effects of the mortality rates of Pandemic Influenza H1N1 in different countries. Using the model choice methods in Bayesian econometrics, we decide the most appropriate model to discribe the mortality rates of different countries. Base on the model, we estimate the mortality rates of different countris. The result reveals that: the individual independent and spatial correlated effects model can best fit the sample data, and the estimated average mortality rate of Pandemic Influenza H1N1 in the world is 0.577%.
作者 段鹏 吴亚平
出处 《数理统计与管理》 CSSCI 北大核心 2012年第4期595-604,共10页 Journal of Applied Statistics and Management
关键词 甲型H1N1流感 死亡率 模型选择 估算 pandemic influenza H1N1, mortality rate, model choice, estimation
  • 相关文献

参考文献9

  • 1Tony Lancaster. An Introduction to Modern Bayesian Econometrics [M]. New Jersey: Blackwell Publisher, 2004.
  • 2Spiegelhalter D J, Best N G, Carlin B P, and van der Linde A. Bayesian measures of model complexity and fit [J]. Journal of the Royal Statistical Society (Series B), 2002, 64: 583-640.
  • 3Besag J, and Kooperberg C L. On conditional and intrinsic autoregressions [J]. Biometrikn~ 1995, 82: 733-746.
  • 4Peter Congdon. Bayesian Models for Categorical Data [M]. New Jersey: John Wiley & Sons, 2005.
  • 5Lindley D. A statistical paradox [J]. Biometrika, 1957, 44: 187-192.
  • 6Peter Congdon. Bayesian Statistical Modelling [M]. New Jersey: John Wiley & Sons, 2006.
  • 7Gelfand A, and Ghosh S. Model choice: A minimum posterior predictive loss approach [J]. Biometrika, 1998, 85: 1-11.
  • 8Laud P, and Ibrahim J. Predictive model selection [J], Journal of the Royal Statistical Society (series B), 1995, 57: 247-262.
  • 9Aitkin M. The calibration of p-values, posterior Bayes factors and the A]C from the posterior dis- tribution of the likelihood [J]. Statistics and Computing, 1997, 7:253 261.

同被引文献31

  • 1阎永平,徐德忠,李良寿,程卫青,陈友绩.肝炎病例对照调查中两种对照免疫水平与暴露率及优势比比较[J].解放军预防医学杂志,1993,11(2):95-99. 被引量:3
  • 2潘婉彬,陶利斌,缪柏其.中国银行间拆借利率扩散模型的极大拟似然估计[J].数理统计与管理,2007,26(1):158-163. 被引量:10
  • 3杨自强.你也需要蒙特卡罗方法——一个得心应手的工具[J].数理统计与管理,2007,26(1):178-188. 被引量:16
  • 4蔡正高.长寿风险管理研究及其在中国的应用[M].博士论文,中国人民大学,2010.
  • 5Brouhns N, Denuit M, and Vermunt J K. Measuring the longevity risk in mortality projections [J]. Bulletin of tile Swiss Association of Actuaries, 2002, 2:105 130.
  • 6Stevens R. Annuity Decisions with Systematic Longevity Risk [R]. Working Paper, 2010.
  • 7Tilburg University. Pitacco E, Denuit M, Haberman S, and Olivieri A. Modelling Longevity Dynamics for Pension and Annuity Business [M]. Oxford University Press, 2009.
  • 8Kladivko K. Maximum Likelihood Estimation of the Cox-Ingersoll-Ross Process: The matlab imple- mentation [R]. University of Economics, Prague, Czech Republic, 2007.
  • 9Mitchell O, Poterba J, Warshawsky M, and Brown J. New evidence on money's worth of individual annuities [J]. American Economic Review, 1999, 89: 1299- 1318.
  • 10Finkelstein A, Poterba J. Selection effects in the UK individual annuities market [J]. The Economic Journal, 2002, 112:28 50.

引证文献3

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部