activity
20242026
collaborators

7 papers

math.PR2026

Analysis of a twisted Bose-Einstein Markov chain with applications to sampling Catalan structures

Ivan Z. Feng, J. E. Paguyo

We analyze a twisted Bose-Einstein Markov chain on arising from the Diaconis-Zhong twisted Burnside process. We derive explicit formulas for the transition kernel and stati…

math.PR2026

Central limit theorem for the homozygosity of the hierarchical Pitman-Yor process

Shui Feng, J. E. Paguyo

The hierarchical Pitman-Yor process is a discrete random measure used as a prior in Bayesian nonparametrics. It is motivated by the study of groups of clustered data exhibiting pow…

math.PR2026

Limit distributions for cycles of random parking functions

J. E. Paguyo, Mei Yin

We study the asymptotic behavior of cycles of uniformly random parking functions. Our results are multifold: we obtain an explicit formula for the number of parking functions with…

math.PR2026

Mixing times of a Burnside process Markov chain on set partitions

J. E. Paguyo

Let be a finite set and let be a finite group acting on . The group action splits into disjoint orbits. The Burnside process is a Markov chain on which has a uni…

math.PR2025

Central limit theorems associated with the hierarchical Dirichlet process

Shui Feng, J. E. Paguyo

The hierarchical Dirichlet process is a discrete random measure used as a prior in Bayesian nonparametrics and motivated by the study of groups of clustered data. We study the asym…

math.PR2025

Asymptotic behavior of clusters in hierarchical species sampling models

Stefano Favaro, Shui Feng, J. E. Paguyo

Consider a sample of size from a population governed by a hierarchical species sampling model. We study the large asymptotic behavior of the number of clusters…