In human populations, it is relatively easy to calculate demographic trends and make projections for the future if data on basic processes such as births and immigration is known. The data, given by ...

An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method ...

A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a ...

By the 1990s, statistical approaches had become more sophisticated. Algorithms for ‘optimal design of experiments’ – still ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

A new collection in the Ecological Society of America’s journal Ecology compiles landmark studies published in its pages over the past 100 years that have advanced the use of statistics in ecology.

The goal of statistical scale space analysis is to extract scale-dependent features from noisy data. The data could be for example an observed time series or digital image in which case features in ...

UNIVERSITY PARK, Pa. — A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions — such as cell types or tissues.