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Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is advanced in several f...
Nowadays land use/ land cover in mountain landscape is in critical condition; it leads to high risky and uncertain environments. These areas are facing multiple stresses including degradation of land ...
When faced with a complex design problem, a design team may separate it into subproblems. We would like to know when this approach is superior and how subproblems shouldbe assigned to team members. We...
Session key agreement protocol using smart card is extremely popular in clientserver environment for secure communication. Remote user authentication protocol plays a crucial role in our daily life ...
The paper describes an approach for the automatical reconstruction of homogeneous straight stairs from point cloud data by using a generative model and Markov Chain Monte Carlo techniques for estima...
We consider a symmetric random walk on a connected graph, where each edge is labeled with the probability of transition between the two adjacent vertices. The associated Markov chain has a uniform equ...
We consider a random walk on a path with n nodes, with symmetric transition probabilities, i.e., the probability of making a transition between node i and node i+1 is the same as making a transition f...
We show how to exploit symmetries of a graph to efficiently compute the fastest mixing Markov chain on the graph (i.e., find the transition probabilities on the edges to minimize the second-largest ei...
From shuffling cards to walking around the building:An Inetroduction to modern markov chain theory。
We consider a symmetric random walk on a connected graph, where each edge is labeled with the probability of transition between the two adjacent vertices. The associated Markov chain has a uniform equ...
We show how to exploit symmetries of a graph to efficiently compute the fastest mixing Markov chain on the graph (i.e., find the transition probabilities on the edges to minimize the second-largest ei...
This paper describes a generalization of the classical regenerative method of simulation output analysis. Instead of blocking a generated sample path on returns to a fixed return state, a more general...
Fastest Mixing Markov Chain on a Graph     Mix  markov chain  figure       2015/7/8
Fastest Mixing Markov Chain on a Graph。
This paper gives sharp rates of convergence to stationarity for a Markov chain generating Bose-Einstein configurations of n balls in k boxes. The analysis leads to curious identities for the arc...
We consider the problem of assigning transition probabilities to the edges of a path, so the resulting Markov chain or random walk mixes as rapidly as possible. In this note we prove that fastest mixi...

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