Sampling schemes and parameter estimation for nonlinear Bernoulli-Gaussian sparse models

Mathematics

• Bernoulli 100%
• Parameter Estimation 92%
• Sparse Approximation 48%
• Posterior Mean 44%
• Markov Chain Monte Carlo Algorithms 41%
• Hierarchical Model 40%
• Gibbs Sampler 40%
• Gaussian Model 39%
• Approximation Problem 36%
• Sparsity 35%
• Spectral Analysis 35%
• Computational Cost 34%
• Model 33%
• Linear Combination 29%
• Costs 24%
• Iteration 22%
• Converge 21%
• Framework 19%
• Generalise 18%
• Estimate 15%

Engineering & Materials Science

• Parameter estimation 94%
• Sampling 71%
• Spectrum analysis 52%
• Markov chains 49%
• Costs 39%