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TCBB
2010
137views more  TCBB 2010»
13 years 2 months 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...
FOCI
2007
IEEE
14 years 1 months ago
Analysis of Exchange Ratio for Exchange Monte Carlo Method
— The exchange Monte Carlo method was proposed as an improved algorithm of Markov Chain Monte Carlo method and its effectiveness has been shown in many fields. In the exchange M...
Kenji Nagata, Sumio Watanabe
JSC
2006
106views more  JSC 2006»
13 years 7 months ago
Markov bases for noncommutative Fourier analysis of ranked data
To calibrate Fourier analysis of S5 ranking data by Markov chain Monte Carlo techniques, a set of moves (Markov basis) is needed. We calculate this basis, and use it to provide a ...
Persi Diaconis, Nicholas Eriksson
BMCBI
2004
177views more  BMCBI 2004»
13 years 7 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
ICCS
2007
Springer
14 years 1 months ago
Complexity of Monte Carlo Algorithms for a Class of Integral Equations
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
Ivan Dimov, Rayna Georgieva