A multi-move sampler for estimating non-Gaussian time series models: Comments on Shephard & Pitt (1997)

被引:79
作者
Watanabe, T
Omori, Y
机构
[1] Tokyo Metropolitan Univ, Fac Econ, Tokyo 1920397, Japan
[2] Univ Tokyo, Fac Econ, Bunkyo Ku, Tokyo 1130033, Japan
关键词
Markov chain Monte Carlo; multi-move sampler; simulation smoother; state variable;
D O I
10.1093/biomet/91.1.246
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This note points out a problem in the multi-move sampler as proposed by Shephard & Pitt (1997) and provides an alternative correct formulation.
引用
收藏
页码:246 / 248
页数:3
相关论文
共 5 条
[1]  
DEJONG P, 1995, BIOMETRIKA, V82, P339
[2]  
Pitt MK, 1999, BAYESIAN STATISTICS 6, P547
[3]   Likelihood analysis of non-Gaussian measurement time series [J].
Shephard, N ;
Pitt, MK .
BIOMETRIKA, 1997, 84 (03) :653-667
[4]  
TIERNEY L, 1994, ANN STAT, V22, P1701, DOI 10.1214/aos/1176325750
[5]   Bayesian analysis of dynamic bivariate mixture models: Can they explain the behavior of returns and trading volume? [J].
Watanabe, T .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2000, 18 (02) :199-210