732 research outputs found
A Note on Perfect Slice Sampling
Perfect slice sampling is a method to turn Markov Chain Monte Carlo (MCMC) samplers into exact generators for independent random variates. We show that the simplest version of the perfect slice sampler suggested in the literature does not always sample from the target distribution. (author's abstract)Series: Research Report Series / Department of Statistics and Mathematic
A Note on the Folding Coupler
Perfect Gibbs sampling is a method to turn Markov Chain Monte Carlo (MCMC) samplers into exact generators for independent random vectors. We show that a perfect Gibbs sampling algorithm suggested in the literature is not always generating from the correct distribution. (author's abstract)Series: Research Report Series / Department of Statistics and Mathematic
Sampling from Linear Multivariate Densities
It is well known that the generation of random vectors with non-independent components is difficult. Nevertheless, we propose a new and very simple generation algorithm for multivariate linear densities over point-symmetric domains.
Among other applications it can be used to design a simple decomposition-rejection algorithm for multivariate concave distributions.Series: Research Report Series / Department of Statistics and Mathematic
The Manometer Task – A Task to Induce Steady Mental Load
With the Manometer Task (MNT) cognitive performance can be examined under conditions of constantly elevated mental load. An adaptive algorithm continuously adjusts the task difficulty in accordance to the previous individual performance. The task concept is described and the psychometric properties are reported for the recommended MNT-configuration with data of N = 2084 candidates. The results showed that the mean reaction times are unrelated to the performance quality of the respective individual. Although, the individual performance quality showed moderate stability across the three levels of task complexity (.32 < r < .34), we did not observe substantial correlations to other tests of cognitive performance. Gender differences were insignificant. Also, age correlations are small (r < .10). Several examples of different practical applications showed how the MNT can be applied to monitor individual performance under the influence of different external stressors
Multiphoton microscopy and ultrafast spectroscopy: Imaging meets quantum (MUSIQ) roadmap
In April 2019 the EU Marie Skłodowska-Curie Actions (MSCA) Innovative Training
Networks (ITN) MUSIQ officially started. The network brought together a unique
team of world-leading academics and industrial partners at the forefront of optical
micro-spectroscopy and ultrafast laser technology developments merged with
fundamental studies of coherent light-matter interaction phenomena, development
of quantitative image analysis tools beyond state-of-the-art, and
biomedical/pharmaceutical real-world applications. The unique vision of MUSIQ has
been to develop and apply the next-generation optical microscopy technologies
exploiting quantum coherent nonlinear phenomena. This Roadmap has been written
collectively by the MUSIQ early-stage researchers and their supervisors. It provides a
summary of the achievements within MUSIQ to date, with an outlook towards future
directions
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