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» Bayesian Parameter Estimation: A Monte Carlo Approach
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DAC
2006
ACM
15 years 11 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»
14 years 10 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
14 years 11 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
85
Voted
AAAI
2007
15 years 17 days 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
14 years 11 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, ...