A new likelihood-based framework estimates count-model parameters directly from aggregated summaries such as binned ...

Statistical inference comprises the framework by which data are used to draw conclusions about underlying phenomena or populations. At its heart lies hypothesis testing, a procedure that evaluates ...

Robust statistical inference aims to produce reliable conclusions when standard assumptions are violated, for instance through outliers or model misspecification. By incorporating divergence ...

All of the captive kea were given the opportunity to participate in the sampling task, but not all of them were interested. (Credit: Amalia Bastos.) Those remarkable kea are at it again: now the ...

A Scientific Reports study presents a causal-enhanced federated transfer learning framework that improved cross-domain ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...