Sentence examples for using statistical simulations and from inspiring English sources

The scale of this task is so immense – the brain has around 100 trillion neural connections – that many still doubt it can be achieved, but Switzerland-based project leader Henry Markram believes his collaborative Big Data approach, using statistical simulations and vast supercomputing power across "swarms" of researchers, might do the trick.

Using statistical simulations, it is possible to generate synthetic exposure time lines mimicking lack or excess of exposure variation.

Active corrosion was examined in this study by calculating backwards the age of the building and the initiation time by carbonation from a large condition assessment data from concrete facades and balconies using statistical simulation methods.

In this paper we compare, using statistical simulation methods, the performance of geographically resolved model data at 5 km × 5 km resolution with area-wide average concentrations derived from a number of air pollution monitors.

The project uses statistical simulation methodology that is a paradigm shift from traditional computational approaches.

We used statistical simulation to compare the impact on epidemiological time-series analysis of additive measurement error in sparse monitor data as opposed to geographically and temporally complete model data.

The objective of this paper is to conduct a parametric study using statistical analysis and simulation to measure the sensitivities of LSWF recovery effects in sandstone reservoirs.

Simulation studies were "studies where statistical methods are compared in terms of statistical power and other parameters, using statistical and mathematical simulation".

The proposed method is examined using a statistical simulation and is further validated in an experiment that involved two vehicles in a holding pattern scenario.

The basic idea is to collect a small number of data points by using a statistical simulation and predict the performance measures of the system for a large set of input parameters based on these.

The present work represents a systematic innovative approach to evaluate the anticipated long-term changes in the seawater salinity and temperature under the stresses of projected climate change and massive industrial effluents using statistical correlation and hydrodynamic simulation.