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 ...

DA, a post-selection inference framework that provides valid p-values and false positive rate control for semi-supervised ...

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

Statistical inference for binomial data addresses the analysis of outcomes that can take one of two values, typically termed “success” or “failure”. Central to this domain is the estimation of the ...

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 ...

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 ...