97 citations · 514 across the 36 of their papers we have counts for
37 papers
Posterior distributions of Gibbs-type priors
Lancelot F. James
Gibbs type priors have been shown to be natural generalizations of Dirichlet process (DP) priors used for intricate applications of Bayesian nonparametric methods. This includes ap…
Inverse clustering of Gibbs Partitions via independent fragmentation and dual dependent coagulation operators
Man Wai Ho, Lancelot F. James, John W. Lau
Gibbs partitions of the integers generated by stable subordinators of index form remarkable classes of random partitions where in principle much is known about their pr…
Posterior distributions for Hierarchical Spike and Slab Indian Buffet processes
Lancelot F. James, Juho Lee, Abhinav Pandey
Bayesian nonparametric hierarchical priors are highly effective in providing flexible models for latent data structures exhibiting sharing of information between and across groups.…
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
Juho Lee, Lancelot F. James, Seungjin Choi +1
We consider a non-projective class of inhomogeneous random graph models with interpretable parameters and a number of interesting asymptotic properties. Using the results of Bollob…
Gibbs Partitions, Riemann-Liouville Fractional Operators, Mittag-Leffler Functions, and Fragmentations Derived From Stable Subordinators
Man-Wai Ho, Lancelot F. James, John W. Lau
Pitman(2003)(and subsequently Gnedin and Pitman (2006) showed that a large class of random partitions of the integers derived from a stable subordinator of index have i…
Independence by Random Scaling
Lancelot F. James, Peter Orbanz
We give conditions under which a scalar random variable T can be coupled to a random scaling factor such that T and T are rendered stochastically independent. A similar resu…