| Gibbs sampling methods for stick-breaking priors H Ishwaran, LF James Journal of the American Statistical Association 96 (453), 161-173, 2001 | 2189 | 2001 |
| Approximate Dirichlet process computing in finite normal mixtures: smoothing and prior information H Ishwaran, LF James Journal of Computational and Graphical statistics 11 (3), 508-532, 2002 | 300 | 2002 |
| Posterior analysis for normalized random measures with independent increments LF James, A Lijoi, I Prünster Scandinavian Journal of Statistics 36 (1), 76-97, 2009 | 256 | 2009 |
| Generalized weighted Chinese restaurant processes for species sampling mixture models H Ishwaran, LF James Statistica Sinica, 1211-1235, 2003 | 236 | 2003 |
| Bayesian model selection in finite mixtures by marginal density decompositions H Ishwaran, LF James, J Sun Journal of the American Statistical Association 96 (456), 1316-1332, 2001 | 148 | 2001 |
| A stochastic memoizer for sequence data F Wood, C Archambeau, J Gasthaus, L James, YW Teh Proceedings of the 26th annual international conference on machine learning …, 2009 | 142 | 2009 |
| Computational methods for multiplicative intensity models using weighted gamma processes: proportional hazards, marked point processes, and panel count data H Ishwaran, LF James Journal of the American Statistical Association 99 (465), 175-190, 2004 | 127 | 2004 |
| Generalized gamma convolutions, Dirichlet means, Thorin measures, with explicit examples LF James, B Roynette, M Yor Probability Surveys 5, 346-415, 2008 | 122 | 2008 |
| Bayesian Poisson process partition calculus with an application to Bayesian Lévy moving averages LF James The Annals of Statistics 33 (4), 1771-1799, 2005 | 115 | 2005 |
| Poisson process partition calculus with applications to exchangeable models and Bayesian nonparametrics LF James arXiv preprint math/0205093, 2002 | 114 | 2002 |
| Consistent estimation of mixture complexity LF James, DJ Marchette, CE Priebe The Annals of Statistics 29 (5), 1281-1296, 2001 | 113 | 2001 |
| The sequence memoizer F Wood, J Gasthaus, C Archambeau, L James, YW Teh Communications of the ACM 54 (2), 91-98, 2011 | 92 | 2011 |
| Conjugacy as a distinctive feature of the Dirichlet process LF James, A Lijoi, I Prünster Scandinavian Journal of Statistics 33 (1), 105-120, 2006 | 85 | 2006 |
| Large sample asymptotics for the two-parameter Poisson–Dirichlet process LF James Pushing the limits of contemporary statistics: contributions in honor of …, 2008 | 67 | 2008 |
| Some further developments for Stick-breaking priors: finite and infinite clustering and classification H ISHWARAN, LF JAMES Sankhya: The Indian Journal of Statistics 65 (Part 3), 577-592, 2003 | 67 | 2003 |
| Lamperti-type laws LF James Annals of Applied Probability 20 (4), 1303-1340, 2010 | 63 | 2010 |
| Poisson calculus for spatial neutral to the right processes LF James The Annals of Statistics 34 (1), 416-440, 2006 | 59 | 2006 |
| Bayesian Poisson calculus for latent feature modeling via generalized Indian buffet process priors LF James The Annals of Statistics 45 (5), 2016-2045, 2017 | 48 | 2017 |
| Bayesian calculus for gamma processes with applications to semiparametric intensity models LF James Sankhyā: The Indian Journal of Statistics, 179-206, 2003 | 46 | 2003 |
| Bayesian analysis of multistate event history data: beta-Dirichlet process prior Y Kim, L James, R Weissbach Biometrika 99 (1), 127-140, 2012 | 42 | 2012 |
Hemant IshwaranProfessor of Biostatistics, University of Miami, Miller School of MedicineVerified email at med.miami.edu
