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» Bayesian Parameter Estimation: A Monte Carlo Approach
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WSC
2000
15 years 7 months ago
Analyzing transformation-based simulation metamodels
We present a technique for analyzing a simulation metamodel that has been constructed using a variancestabilizing transformation. To compute a valid confidence interval for the ex...
Maria de los A. Irizarry, Michael E. Kuhl, Emily K...
CISS
2008
IEEE
16 years 14 days ago
Information theory based estimator of the number of sources in a sparse linear mixing model
—In this paper we present an Information Theoretic Estimator for the number of sources mutually disjoint in a linear mixing model. The approach follows the Minimum Description Le...
Radu Balan
ECCV
2002
Springer
16 years 7 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
GLOBECOM
2008
IEEE
16 years 13 days ago
Low-Complexity Hybrid QRD-MCMC MIMO Detection
In this paper, we propose a novel hybrid QRD-MCMC MIMO detector that combines the feature of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm i...
Ronghui Peng, Koon Hoo Teo, Jinyun Zhang, Rong-Ron...
ICASSP
2010
IEEE
15 years 6 months ago
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
Richard E. Turner, Maneesh Sahani