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SIGMETRICS
2002
ACM
142views Hardware» more  SIGMETRICS 2002»
13 years 4 months ago
Exact aggregate solutions for M/G/1-type Markov processes
We introduce a new methodology for the exact analysis of M/G/1-type Markov processes. The methodology uses basic, well-known results for Markov chains by exploiting the structure ...
Alma Riska, Evgenia Smirni
SIGMETRICS
2002
ACM
107views Hardware» more  SIGMETRICS 2002»
13 years 4 months ago
Passage time distributions in large Markov chains
Probability distributions of response times are important in the design and analysis of transaction processing systems and computercommunication systems. We present a general tech...
Peter G. Harrison, William J. Knottenbelt
PE
2000
Springer
101views Optimization» more  PE 2000»
13 years 4 months ago
On the convergence of the power series algorithm
In this paper we study the convergence properties of the power series algorithm, which is a general method to determine (functions of) stationary distributions of Markov chains. W...
Gerard Hooghiemstra, Ger Koole
JIRS
2000
121views more  JIRS 2000»
13 years 4 months ago
Entropy-Based Markov Chains for Multisensor Fusion
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
Albert C. S. Chung, Helen C. Shen
IM
2007
13 years 4 months ago
Ranking Websites: A Probabilistic View
In this paper we suggest evaluating the importance of a website with the mean frequency of visiting the website for the Markov chain on the Internet Graph describing random surfi...
Ying Bao, Guang Feng, Tie-Yan Liu, Zhiming Ma, Yin...
RSA
2006
88views more  RSA 2006»
13 years 4 months ago
Randomly coloring sparse random graphs with fewer colors than the maximum degree
We analyze Markov chains for generating a random k-coloring of a random graph Gn,d/n. When the average degree d is constant, a random graph has maximum degree (log n/ log log n), ...
Martin E. Dyer, Abraham D. Flaxman, Alan M. Frieze...
SIAMSC
2008
148views more  SIAMSC 2008»
13 years 4 months ago
Multilevel Adaptive Aggregation for Markov Chains, with Application to Web Ranking
A multilevel adaptive aggregation method for calculating the stationary probability vector of an irreducible stochastic matrix is described. The method is a special case of the ada...
Hans De Sterck, Thomas A. Manteuffel, Stephen F. M...
IJAR
2007
100views more  IJAR 2007»
13 years 4 months ago
Multisensor triplet Markov chains and theory of evidence
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...
Wojciech Pieczynski
ORI
2008
69views more  ORI 2008»
13 years 4 months ago
Markov chain applications in the slot machine industry
One of the important sectors within gambling is that of gaming machines. This industry used to favour approaches based on long-run simulations or complete enumerations of all poss...
Noelia Oses
MOR
2006
60views more  MOR 2006»
13 years 4 months ago
Measure-Valued Differentiation for Stationary Markov Chains
: We study general state-space Markov chains that depend on a parameter, say, . Sufficient conditions are established for the stationary performance of such a Markov chain to be di...
Bernd Heidergott, Arie Hordijk, Heinz Weisshaupt