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GLOBECOM
2009
IEEE
14 years 3 days ago
A Fresh Look at Multicanonical Monte Carlo from a Telecom Perspective
—The Multicanonical Monte Carlo (MMC) technique is a new form of adaptive importance sampling (IS). Thanks to its blind adaptation algorithm, it does not require an in-depth syst...
Alberto Bononi, Leslie A. Rusch, Amirhossein Ghazi...
WSC
2004
13 years 6 months ago
An Importance Sampling Method for Portfolios of Credit Risky Assets
The distribution of possible future losses for a portfolio of credit risky corporate assets, such as bonds or loans, shows strongly asymmetric behavior and a fat tail as the conse...
William J. Morokoff
BMCBI
2011
12 years 12 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
SIGSOFT
2007
ACM
14 years 6 months ago
State space exploration using feedback constraint generation and Monte-Carlo sampling
The systematic exploration of the space of all the behaviours of a software system forms the basis of numerous approaches to verification. However, existing approaches face many c...
Sriram Sankaranarayanan, Richard M. Chang, Guofei ...
SIGGRAPH
1992
ACM
13 years 9 months ago
Predicting reflectance functions from complex surfaces
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance