This is a preview. Log in through your library . Abstract In recent years, sparse principal component analysis has emerged as an extremely popular dimension reduction technique for high-dimensional ...

HOUSTON -- (June 5, 2018) -- Researchers from Rice University and Duke University are using the tools of statistics and data science in collaboration with Human Rights Data Analysis Group (HRDAG) to ...

Recent advances in survey methodology and statistical theory have led to the development of robust estimation techniques that address the inherent challenges of measuring sensitive variables. In many ...

Widely available, trustworthy government statistics are essential for policy makers and program administrators at all levels of government, for private-sector decision makers, for researchers, and for ...

Statistical testing and lower bounds in distributed estimation constitute a rapidly evolving area that addresses both the design of robust tests for assessing data properties across networked systems ...

The tenth edition of the Small Area Estimation (SAE) Conference was held in Maastricht from 17 to 19 August, 2016 and was jointly organised by Statistics Netherlands (CBS) and Maastricht University ...

It's said that statistics don't lie, but they often don't tell the whole truth, either. A Cornell statistics expert has come up with a method he believes can boost statistical power and significantly ...

Many businesses rely on statistical analysis to organize collected information and predict future trends based on that data. While organizations have lots of options on what to do with their big data, ...

Please provide your email address to receive an email when new articles are posted on . Statistical risk estimate is more effective than a physician’s subjective assessment for the prediction of short ...