Two coupled Gibbs sampler chains, both with invariant probability density , are run in parallel in such a way that the chains are negatively correlated. This allows us to define an estimator of the expectation E with respect to which achieves significant variance reduction with respect to the usual Gibbs sampler at comparable computational costs. We show that the asymptotic variance of the esti...

For SFTs, any equilibrium measure is Gibbs, as long a f has dsummable variation. This is a theorem of Lanford and Ruelle. Conversely, a theorem of Dobrušin states that for strongly-irreducible subshifts, shiftinvariant Gibbs-measures are equilibrium measures. Here we prove a generalization of the Lanford-Ruelle theorem: for all subshifts, any equilibrium measure for a function with d-summable v...

The Gibbs Centroid Sampler is a software package designed for locating conserved elements in biopolymer sequences. The Gibbs Centroid Sampler reports a centroid alignment, i.e. an alignment that has the minimum total distance to the set of samples chosen from the a posteriori probability distribution of transcription factor binding-site alignments. In so doing, it garners information from the f...

In this study, the effectiveness of two conventional UV reactors in series for the online sterilization of cheese whey was compared to that of a single conventional reactor. The single reactor and the two reactor series were tested at eleven flow rates (5, 10, 15, 20, 25, 30, 35, 40, 50, 60 and 70 mL min ) and five flow rates, (35, 40, 50, 60, 70 mL min ), respectively. 100% destruction efficie...

Due to its structure, hexamethylenetetramine (HMT) is a slowly biodegradable substance, hydrolysing in acid environment to ammonium and formaldehyde. Formaldehyde is toxic under normal conditions for biological treatment processes. Following an adaptation, a formaldehyde concentration of 1000 mg·l may become biodegradable both in aerobic and anaerobic conditions. Acidic conditions for hydrolysi...

Pellet heat and mass transfer coefficients inside packed beds do not have definite deterministic values, but are stochastic quantities with a certain distribution. Here, a method is presented to incorporate the stochastic distribution of pellet properties in reactor design and operation models. The theory presented is illustrated with a number of examples. It is shown that pellet-scale statisti...

This paper proposes and compares two new sampling schemes for sparse deconvolution using a Bernoulli-Gaussian model. To tackle such a deconvolution problem in a blind and unsupervised context, the Markov Chain Monte Carlo (MCMC) framework is usually adopted, and the chosen sampling scheme is most often the Gibbs sampler. However, such a sampling scheme fails to explore the state space efficient...

The pairwise influence matrix of Dobrushin has long been used as an analytical tool to bound the rate of convergence of Gibbs sampling. In this work, we use Dobrushin influence as the basis of a practical tool to certify and efficiently improve the quality of a Gibbs sampler. Our Dobrushin-optimized Gibbs samplers (DoGS) offer customized variable selection orders for a given sampling budget and...

The Gibbs classiier is a simple approximation to the Bayesian optimal classiier in which one samples from the posterior for the parameter , and then classiies using the single classiier indexed by that parameter vector. In this paper, we study the Voting Gibbs classiier, which is the extension of this scheme to the full Monte Carlo setting, in which N samples are drawn from the posterior and ne...