Together, these two proposals constitute a computationally efficient algorithm for mapping out the full joint CMB posterior, both in the high and low signal-to-noise regimes. Prediction of such a structural safety is time consuming considering that sampling methods such as Monte Carlo method or Latin Hypercube sampling are used. For the technical basis of Latin Hypercube Sampling (LHS) and Latin Hypercube Designs (LHD) please see: Stein, Michael. (Latin Hypercube) sampling methodology to find the acceptable solutions. Latin Hypercube Samples (lhs) Theory of Latin Hypercube Sampling. The algorithm is completed by alternating this move with a standard Gibbs move. We hope that DREAM Suite facilitates the further growth of Bayesian methods in. One alternative approach for sampling the Xi is called Latin Hypercube sampling (LHS, for short), introduced by McKay, Beckman, and Conover (1979). = between the original more » and proposed sky sample, which is close to unity in the low signal-to-noise regime. Why should I use an MCMC chain of length 10,000 but not do a Latin Hypercube Sampling of 10,000 samples and calculate the Stack Exchange Network Stack Exchange network consists of 178 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. to the development of many variance reduction techniques as well as alternative sampling methods (see, e.g., Law and Kelton 2000 for a general discussion of this topic).