我的大部分论文均可在Google Scholar（谷歌学术）上查阅，链接为
https://scholar.google.com/citations?user=-bHzVq8AAAAJ&hl=zh-CN&oi=ao以下列出了一些较难在网络上检索到的早期文献：
My PhD thesis (1991). Correlation Structure and Convergence Rate of the Gibbs Sampler. Department of Statistics, University of Chicago, Chicago, Illinois.
Liu JS, Liu C, and Rubin DB (1992). A variational control variable for assessing the convergence for the Gibbs sampler. In Proc. Amer. Statist. Assoc, Statistical Computing Section, 74-78.
Liu JS and Liu C (1993). Discussion on the “Meeting on the Gibbs sampler and other Markov chain Monte Carlo methods.” J. Roy. Statist. Soc. Ser. B 55, 82-83.
Liu JS and Rubin DB (1994). Discussion on “Approximate Bayesian inference with the weighted likelihood bootstrap” by Newton & Raftery. J. Roy. Statist. Soc. B, 56, 40.
Liu JS (1994). Fraction of Missing Information and Convergence Rate of Data Augmentation. In Proc. 26th Symp. Interface of Computational Science and Statistics, 490-496.
Wilbur WJ and Liu JS (1994). The Energy Distribution of the Compact States of a Peptide Chain. Macromolecules 27, 2432-2438.
Liu JS (1996). Discussion on “Statistical inference and Monte Carlo algorithms” by Casella, George, et al., Test 5 (2), 249-344.
Liu JS and Sabatti C (1998). Simulated Sintering: MCMC With Spaces of Varying Dimensions. Bayesian Statistics, 6, 389-413.
Liu JS (1999). Markov chain Monte Carlo and related topics. Technical Report, Dept of Statistics, Stanford University.
Liu XS; Brutlag DL; Liu JS (2001). BioProspector: discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes. Pacific Symposium on Biocomputing 6, 127-138.
Chen LY, Qin S and Liu JS (2001). Exploring hybrid Monte Carlo in Bayesian computation. In Bayesian Methods with Applications to Science, Policy and Official Statistics; Selected Papers from ISBA 2000, 71-80.
Liu JS, Chen R, and Logvinenko T (2001). A Theoretical Framework for Sequential Importance Sampling and Resampling. In Sequential Monte Carlo Methods in Practice by Doucet A, Freitas et al. Springer, New York.
Schmidler SC, Liu JS, and Brutlag DL (2002). Bayesian Protein Structure Prediction. In Case Studies in Bayesian Statistics: Volume V, by Constantine Gatsonis et al. Springer, New York.
Liu JS (2002). Bayesian modeling and computation in bioinformatics research. In Topics in Computational Biology. Ed. T. Jiang, Y. Xu, and M. Zhang. MIT Press, Cambridge, MA.c
