Lovisa Arnesson-Cronhamre. Credit: Photo provided by family of Lovisa Arnesson-Cronhamre. The life of Lovisa Arnesson-Cronhamre, a graduate student at Penn State in architectural engineering, who ...

Todd LaJeunesse, professor of biology at Penn State, has been appointed to the Wilson Hewitt Professorship in Biology in the Eberly College of Science. The professorship is part of a $3-million estate ...

Eric Nacsa, assistant professor of chemistry at Penn State, has been honored with a 2024 Maximizing Investigators' Research Award (MIRA) grant from the National Institute of General Medical Sciences ...

Nine Penn State researchers have been named fellows of the Institute of Energy and the Environment for 2024, including Charles Anderson, professor of biology, and Miriam Freedman, professor of ...

Ephraim Hanks, associate professor of statistics, was honored with the 2024 Abdel El-Shaarawi Early Investigator Award by the International Environmetrics Society. Ephraim Hanks. Credit: Nate Follmer, ...

Penn State Eberly College of Science graduate students Šárka Blahnik and Emma Steinebronn have been honored with the inaugural Be More Lovisa Graduate Student Scholarship in Physics. The award honors ...

This talk explores the advancements in Bayesian multi-instance learning (MIL) and its applications in diverse fields. We will first delve into the utilization of state-of-the-art MIL techniques for ...

Fin rays are skeletal rods that support the fin webs of many fishes. The rays are arranged in a series along the length of a fin and can be segmented and branching. As a fish grows, new segments and ...

Mixed Poisson families are widely used to model count data with overdispersion, zero inflation, or heavy tails in a variety of applications including finance, biology, and the physical sciences. The ...

Jogesh Babu, distinguished professor of statistics and of astronomy and astrophysics in the Penn State Eberly College of Science and co-founder of the field of astrostatistics, retired from Penn State ...

Deep generative models are probabilistic generative models where the generator is parameterized by a deep neural network. They are popular models for modeling high-dimensional data such as texts, ...

For survey statistics practitioners, it sometimes feels like the sky is falling. Response rates are declining. Data collection costs are increasing. Federal budgets are shrinking. For survey ...