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TCBB
2010
137views more  TCBB 2010»
13 years 14 days ago
The Metropolized Partial Importance Sampling MCMC Mixes Slowly on Minimum Reversal Rearrangement Paths
Markov chain Monte Carlo has been the standard technique for inferring the posterior distribution of genome rearrangement scenarios under a Bayesian approach. We present here a neg...
István Miklós, Bence Melykuti, Krist...
FOCS
1999
IEEE
13 years 10 months ago
Markovian Coupling vs. Conductance for the Jerrum-Sinclair Chain
We show that no Markovian Coupling argument can prove rapid mixing of the Jerrum-Sinclair Markov chain for sampling almost uniformly from the set of perfect and near perfect match...
V. S. Anil Kumar, H. Ramesh
SODA
2004
ACM
104views Algorithms» more  SODA 2004»
13 years 7 months ago
Variable length path coupling
We present a new technique for constructing and analyzing couplings to bound the convergence rate of finite Markov chains. Our main theorem is a generalization of the path couplin...
Thomas P. Hayes, Eric Vigoda
ISAAC
2003
Springer
129views Algorithms» more  ISAAC 2003»
13 years 11 months ago
Polynomial Time Approximate Sampler for Discretized Dirichlet Distribution
Abstract. In this paper, we propose a Markov chain for sampling a random vector distributed according to a discretized Dirichlet distribution. We show that our Markov chain is rapi...
Tomomi Matsui, Mitsuo Motoki, Naoyuki Kamatani
STOC
2003
ACM
174views Algorithms» more  STOC 2003»
14 years 6 months ago
Adiabatic quantum state generation and statistical zero knowledge
The design of new quantum algorithms has proven to be an extremely difficult task. This paper considers a different approach to the problem, by studying the problem of 'quant...
Dorit Aharonov, Amnon Ta-Shma