A new sampling algorithm, the open-closed mod-minimizer, reduces the space required for genomic indexes by up to 18 percent ...

Background To evaluate the diagnostic accuracy of the WHOeyes smartphone application for screening distance and near visual ...

A nice characteristic of a Sobol is that the observations are equally spaced apart. That means that there is no error due to the variation in gaps between the sequenced weights – nor randomness ...

Say that you have a bachelor’s in finance, but that you’re not exactly a ‘math’ person. You know that diversification is good for reducing the volatility of returns, but the calculations are a bit ...

UCLA researchers have created a blood test that can scan DNA signals for multiple cancers, liver diseases, and signs of organ damage—and even indicate where trouble may be developing. Early results ...

Systematic sampling selects a random start between 1 and k, then every k-th unit from an ordered population (k = N/n) — simple to run in the field, but vulnerable to periodicity bias if the list has a ...

Snowball sampling (also called chain-referral sampling) is a non-probability sampling method in which existing study participants recruit future participants from among their own acquaintances. A ...

[Jakub] is a musician, and found himself in need of a simple way to trigger samples via MIDI when on stage. So many commercial solutions exist, but most were overkill for the job or too messy and ...

While the Experience Sampling Method (ESM) is particularly suitable for assessing subjective views and inner phenomena such as emotional experience, it is still rarely used in research involving ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...