9 citations · 36 across the 17 of their papers we have counts for
8 papers · 1 filter
Counting the number of group orbits by marrying the Burnside process with importance sampling
Persi Diaconis, Chenyang Zhong
This paper introduces a novel and general algorithm for approximately counting the number of orbits under group actions. The method is based on combining the Burnside process and i…
Large deviation principle for the Airy point process
Chenyang Zhong
The Airy point process is a determinantal point process that arises from the spectral edge of the Gaussian Unitary Ensemble. In this paper, we establish a large deviation principle…
Colored stochastic vertex models with U-turn boundary
Chenyang Zhong
In this paper, we introduce a class of colored stochastic vertex models with U-turn right boundary. The vertex weights in the models satisfy the Yang-Baxter equations and the refle…
Cycle structure of Mallows permutation model with the distance
Chenyang Zhong
Introduced by Mallows as a ranking model in statistics, Mallows permutation model is a class of non-uniform probability distributions on the symmetric group . The model depend…
The length of the longest increasing subsequence of Mallows permutation models with and distances
Chenyang Zhong
Introduced by Mallows in statistical ranking theory, Mallows permutation model is a class of non-uniform probability measures on the symmetric group that depend on a distance…
Mallows permutation models with and distances I: hit and run algorithms and mixing times
Chenyang Zhong
Mallows permutation model, introduced by Mallows in statistical ranking theory, is a class of non-uniform probability measures on the symmetric group . The model depends on a…
Hahn polynomials and the Burnside process
Persi Diaconis, Chenyang Zhong
We study a natural Markov chain on with eigenvectors the Hahn polynomials. This explicit diagonalization makes it possible to get sharp rates of convergence to s…
Large deviation bounds for the Airy point process
Chenyang Zhong
In this paper, we establish the first large deviation bounds for the Airy point process. The proof is based on a novel approach which relies upon the approximation of the Airy poin…