Efficient SRAM Failure Rate Prediction via Gibbs Sampling

Efficient Failure Rate Prediction for SRAM Cells via Gibbs Sampling

Efficient Aging-Aware SRAM Failure Probability Calculation via Particle Filter-Based Importance Sampling

Variable Selection Via Gibbs Sampling

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Bayesian Estimates of Genetic Relationships between Growth Curve Parameters in Shall Sheep via Gibbs Sampling

The objective of this study was to estimate variance components and genetic parameters for growth curve parameters in Shall sheep. Studied traits were parameters of Brody growth model which included A (asymptotic mature weight), B (initial animal weight) and K (maturation rate). The data set and pedigree information used in this study were obtained from the Animal Breeding Center of Iran and co...

Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation

Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling method has however the crucial drawback of high computational complexity, which makes it limited applicable on large data sets. We propose a novel dynamic sampling strategy to significantly improve the efficiency of co...