Reliable information processing in cells requires high sensitivity to changes in the input signal but low sensitivity to random fluctuations in the transmitted signal. There are often many alternative biological circuits qualifying for this biological function. Distinguishing theses biological models and finding the most suitable one are essential, as such model ranking, by experimental evidenc...

In this work, we propose a novel clustering algorithm based on Bayesian Sequential Partition (BSP) and the spectral clustering algorithm. Since the BSP is capable of providing much more accurate density estimates when the sample space is of moderate to high dimension, the proposed clustering algorithm is believed to be superior to available ones when dealing with high dimensional problems. To d...

In this paper, we address the problem of sequential Bayesian model selection. This problem does not usually admit any closed-form analytical solution. We propose here an original sequential simulation-based method to solve the associated Bayesian computational problems. This method combines sequential importance sampling, a resampling procedure and reversible jump MCMC moves. We describe a gene...

aim : the aim of this study is to estimate gastric cancer (gc) mortality rate for iranian population, using bayesian approach in order to revise the existing classification which is thought to be a misclassification. background : gastric cancer (gc) is an important cause of mortality among many other types of cancer. data on cancer mortality can be used to guide policy makers in order to setup ...

aim : the aim of this study is to estimate oral cavity cancer mortality for iranian population, using bayesian approach in order to revise this misclassification. background : mortality is a familiar projection to address the burden of cancers, but according to iranian death registry, about 20% death statistics were still recorded in misclassified categories. patients and methods : we analyzed ...

Clinical trials usually involve sequential patient entry. When designing a clinical trial, it is often desirable to include provision for interim analyses of accumulating data with the potential stopping trial early. We review Bayesian designs based on posterior probabilities, predictive and decision-theoretic frameworks. A pertinent question whether need be adjusted planning analyses. answer t...