LANCELOT F. JAMES

 

Department of Information and Systems Management  
Hong Kong University of Science and Technology
Clear Water Bay, Kowloon.
Hong Kong SAR
email: lancelot@ust.hk
phone: 852-2358-7742
fax: 852-2358-1946

BIBLIOGRAPHY

 

Newer Articles via Bibserver (test version)

 

 James, L.F. and Yor. M. (2006). Tilted stable subordinators, Gamma time changes and Occupation Time of rays by Bessel Spiders.
 http://arxiv.org/abs/math.PR/0701049
 James, L.F. (2006). Gamma tilting calculus for GGC and Dirichlet means with applications to Linnik processes and occupation time laws for randomly skewed Bessel processes and bridges. 
 http://arxiv.org/abs/math.PR/0610218
 James, L.F., Lijoi, A. and Pruenster, I. (2006). Distributions of Functionals of the Two Parameter Poisson-Dirichlet  Process.
 http://arxiv.org/abs/math.PR/0609488
 James, L. F. (2006). Poisson calculus for spatial neutral to the right processes. Annals of Statistics 34 416-440.  http://arxiv.org/abs/math.ST/0305053
James, L.F. (2006).  Laws and likelihoods for Ornstein Uhlenbeck-Gamma and other BNS OU stochastic volatilty models with extensions. http://arxiv.org/abs/math/0604086
James, L.F. (2006). Spatial neutral to the right species sampling mixture models. Prepared for a  A Festschrift for Kjell Doksum. http://arxiv.org/abs/math/0604266
James, L.F., Lijoi, A. and Pruenster, I. (2006). Conjugacy as a distinctive feature of the Dirichlet process.  Scandinavian Journal of Statistics 33 105-120.
Ho, M-W., James, L.F. and Lau, J.W. (2006).  Coagulation fragmentation laws induced by general coagulations of  two-parameter Poisson-Dirichlet
processes. http://arxiv.org/abs/math.PR/0601608
James, L. F. (2005). A note on exact likelihoods of the Carr-Wu models for leverage effects and volatility in financial economics. http://arxiv.org/abs/math.ST/0503314
James, L.F., Lijoi, A. and I. Pruenster. (2005) Bayesian inference for classes of normalized random measures.  http://arxiv.org/abs/math.ST/0503394
James, L. F. (2005). Analysis of a class of likelihood based continuous time stochastic volatility models including Ornstein-Uhlenbeck models in financial economics.  http://arxiv.org/abs/math.ST/0503055
 James, L. F.  and John W. Lau (2005). A class of generalized hyperbolic continuous time integrated stochastic volatility likelihood models.  http://arxiv.org/abs/math.ST/0503056
 James, L. F. (2005). Bayesian Poisson process partition calculus with an application to Bayesian Levy moving averages. Annals of Statistics 33 1771-1799. paper (pdf) 
James, L.F. (2005). Functionals of  Dirichlet processes, the Cifarelli-Regazzini identity and Beta-Gamma processes. Annals of Statistics 33 647-660. paper
Ishwaran, H. and James, L. F. (2004). Computational methods for multiplicative intensity models using weighted gamma processes: proportional hazards, marked point processes and panel count data. J. Amer. Stat. Assoc., 99, 175-190. paper (pdf)
Doksum. K.A. and James, L. F. (2004) On spatial neutral to the right processes and their posterior distributions. In Mathematical Reliability: An Expository Perspective, Editors: Mazzuchi, Singpurwalla and Soyer. International Series in Operations Research and Management Science. Kluwer Academic Publishers.
James, L. F. and Lau, J. W.(2004) Flexible choice modelling based on Bayesian nonparametric mixed multinomial logit choice models. Submitted paper
 James, L. F. (2003).  Functionals of  Dirichlet processes, the Markov-Krein identity and Beta-Gamma processes. http://arXiv.org/abs/math/0310012
 James, L. F. (2003). Poisson calculus for spatial neutral to the right processes(Big version).  http://arxiv.org/abs/math/0305053 or paper
James, L. F. (2003). A simple proof of the almost sure discreteness of a class of random measures. Statistics and Probability Letters 65 . Available at doi:10.1016/j.spl.2003.08.005  or paper
James, L.F. (2003). Bayesian calculus for Gamma processes with applictions to semiparametric models. Sankhya Ser. A. 65 196-223.paper
Ishwaran, H. and James, L. F. (2003). Generalized weighted Chinese restaurant processes for species sampling mixture models. Statistica Sinica, 13, 1211-1235. paper (pdf)
Ishwaran, H. and James, L. F. (2003). Some further developments for stick-breaking priors: finite and infinite clustering and classification. Sankhya Series A, 65, 577-592.  paper
 James, L. F. (2002). Poisson process partition calculus with applications to exchangeable models and Bayesian Nonparametrics. http://arXiv.org/abs/math/0205093
Ishwaran, H. and James, L. F. (2002). Approximate Dirichlet process computing in finite normal mixtures: smoothing and prior information. Journal of Computational and Graphical Statistics. 11 508-532. paper (pdf) 
James, L.F., Priebe, C.E. and Marchette, D.J. (2001). Consistent Estimation of Mixture Complexity.  Annals of Statistics 29 1281-1296. EuclidLink
Ishwaran, H., James, L. F. and Sun, J. (2001).   Bayesian model selection in finite mixtures by marginal density decompositions.  Journal of the American Statistical Association, 96 1316-1332   paper (pdf)
Ishwaran, H. and James, L. F. (2001). Gibbs sampling methods for stick-breaking priors.  Journal of the American Statistical Association, 96, 161-173.  paper (pdf)
James, L.F. (1997). A study of a class of weighted bootstraps for censored data.  Annals of Statistics 25, 1595-1621.  EuclidLink
White, D.B. and James, L. (1996). Standard error and sample size determination for estimation of probabilities based on a test variable. Journal of Clinical Epidemiology. 49, 419-429.

RESEARCH INTERESTS

Bayesian Nonparametric statistics, semiparametric models, survival analysis, mixture models, bootstrap methods, sequential importance sampling and Markov chain Monte-Carlo methods, random partitions and  random measures.

CV

EDUCATION

Ph.D. Statistics, State University of New York at Buffalo, 1993
B.A. State University of New York at Buffalo, 1989