A new study, affiliated with UNIST has recently presented a novel statistical algorithm, capable of identifying potential disease genes in a more accurate and cost-effective way. This algorithm has ...

We've reviewed in an earlier article Daniel Kahnemann's Prospect Theory, his latest book quot;Thinking Fast and Slowquot; and some of the key findings of Behavioural Finance and we'll be discussing a ...

Most algorithms in order restricted statistical inference express the estimates in terms of certain summary statistics computed from pooled samples. These algorithms may or may not yield optimal ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. AI today is described in breathless terms as computer algorithms that ...

Today, power is rapidly replacing performance as the primary concern for many digital chip design teams. Currently, the majority of 90nm design teams perform concurrent analysis and optimization for ...

Algorithms have taken a lot of heat recently for producing biased decisions. For example, people were outraged over an Amazon.com recruiting algorithm that overlooked female applicants. Should we be ...

In 2012, genome-wide statistical analysis of splicing led to the discovery of the global expression of circular RNA (circRNA) in eukaryotes and found that, in hundreds of human genes, circRNA ...

I swear by Hypatia, by Lovelace, by Turing, by Fisher (and/or Bayes), and by all the statisticians and data scientists, making them my witnesses, that I will carry out, according to my ability and ...