We present nested sampling for factor graphs (NSFG), a novel approach to approximate inference posterior distributions expressed over factor-graphs. Performing such is key step in simultaneous localization and mapping (SLAM). Although the Gaussian approximation often works well, other more challenging SLAM situations, distribution non-Gaussian cannot be explicitly represented with standard dist...

Mycoplasma gallisepticum is the most important and infectious Mycoplasmosis. It is caused lots of economic losses for poultry's industry of Iran. The target of this study is comparison of culture and nested PCR techniques to detect Mycoplasma gallisepticum infection of chicken’s from industrial farms in Kerman province of Iran. 88 isolates received from industrial far...

Mycoplasma gallisepticum is the most important and infectious Mycoplasmosis. It is caused lots of economic losses for poultry's industry of Iran. The target of this study is comparison of culture and nested PCR techniques to detect Mycoplasma gallisepticum infection of chicken’s from industrial farms in Kerman province of Iran. 88 isolates received from industrial far...

This paper addresses the issue of estimating the expectation of a real-valued random variable of the form X = g(U) where g is a deterministic function and U can be a random finiteor infinite-dimensional vector. Using recent results on rare event simulation, we propose a unified framework for dealing with both probability and mean estimation for such random variables, i.e. linking algorithms suc...

In performing a Bayesian analysis of astronomical data, two difficult problems often emerge. First, in estimating the parameters of some model for the data, the resulting posterior distribution may be multimodal or exhibit pronounced (curving) degeneracies, which can cause problems for traditional Markov Chain Monte Carlo (MCMC) sampling methods. Second, in selecting between a set of competing ...