On-the-Fly Monte Carlo Dominance Ratio Calculation Using the Noise Propagation Matrix

Consensus Monte Carlo using expectation propagation∗

The article under discussion considers algorithms for performing inference on large or unwieldy datasets by partitioning the data, analyzing each piece separately, and then putting the inferences together. This is an active area of research in computational statistics (see, for example, Tresp, 2000, Ahn, Korattikara, and Welling, 2012, Gershman, Hoffman, and Blei, 2012, Korattikara, Chen, and W...

On Monte Carlo and Quasi-Monte Carlo for Matrix Computations

Bremsstrahlung imaging from the liver using the Monte Carlo simulation

Introduction: Most beta and gamma radiation radioisotopes used for treatment are not suitable for imaging. The bremsstrahlung images on a conventional gamma camera helped to localize the radionuclide within and outside of the lesion. Secondary scattering of gamma rays of higher energy and bremsstrahlung causes contamination in the energy window and reducing the contrast and resolution of the im...

the impact of using inspirational quotes on abstract vocabulary recall

the present study is an attempt to investigate the potential impact of inspirational quotes on improving english abstract vocabulary recall. to achieve this goal, a multiple choice language proficiency test of 60 items including vocabulary and grammar component was administered to a sample of 63 second-semester male and female students whose age ranged between 17 to 22 and they were studying en...

Transition Matrix Monte Carlo

Although histogram methods have been extremely effective for analyzing data from Monte Carlo simulations, they do have certain limitations, including the range over which they are valid and the difficulties of combining data from independent simulations. In this paper, we describe an complementary approach to extracting information from Monte Carlo simulations that uses the matrix of transition...