Furthermore the model can predict new observations more accurately. Applied Statistics of the Journal of the Royal Statistical Society was founded in 1952. It promotes papers that are driven by real ...

The group lasso estimator for logistic regression is shown to be statistically consistent even if the number of predictors is much larger than sample size but with sparse true underlying structure. We ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

Shoppr, a fast-growing logistics startup co-founded by Patrick Ojobo and Adelanke Ladejobi, has unveiled a game-changing prepaid delivery model designed to make logistics in Lagos faster, more ...

THE logistic curve is often used in teaching ecology as a first description of growth of an animal population. For many reasons, frequency related to age structure and time-lag effects, it does ...

Testing it to higher and higher precision is essential for identifying any cracks in the Standard Model. Ulmer says the team observed antiproton spin coherence times of up to 50 s.

University Disability Support Services Through interactive collaboration with students and campus partners, the Disability Support Services Office facilitates academic access at the University of ...