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» Bayesian Parameter Estimation: A Monte Carlo Approach
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DAC
2006
ACM
14 years 8 months ago
Statistical timing analysis with correlated non-gaussian parameters using independent component analysis
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
Jaskirat Singh, Sachin S. Sapatnekar
CSDA
2007
123views more  CSDA 2007»
13 years 7 months ago
Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “associ...
G. Iliopoulos, Maria Kateri, Ioannis Ntzoufras
WCE
2007
13 years 8 months ago
Comparing Risk Neutral Density Estimation Methods using Simulated Option Data
Abstract—In this paper I use Monte Carlo simulated option data to investigate the empirical power of six Risk Neutral Density (RND) estimation techniques. Three alternative appro...
Amine Bouden
AAAI
2007
13 years 9 months ago
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
Wei Sun, Kuo-Chu Chang
UAI
2000
13 years 8 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...