564 search results - page 41 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
161
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VLDB
2009
ACM
15 years 10 months ago
2009
ACM
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
CSSC
2010
14 years 10 months ago
2010
: An example was given in the textbook All of Statistics (Wasserman, 2004, pages 186-188) for arguing that, in the problems with a great many parameters Bayesian inferences are wea...
78
Voted
JMLR
2006
2006
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
14 years 10 months ago
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
108
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NIPS
2008
14 years 11 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
77
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...