A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from ...

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

Google is expanding its AI model family while addressing some of the biggest issues in the domain. Today, the company debuted DataGemma, a pair of open-source, instruction-tuned models that take a ...

The Certificate will require 6 graduate level courses of 17 credits: •Two-semester sequence in Statistical Modeling and Data Science to provide foundations in statistical analysis and data science.

What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...

Statistical models used in geophysical, environmental, and climate science applications must reflect the curvature of the spatial domain in global data. Over the past few decades, statisticians have ...

Hidden Markov models (HMMs) are one of the most widely used statistical methods for analyzing sequence data. However, the reporting of output from HMMs has largely been restricted to the presentation ...

Models are making headlines amidst the COVID-19 pandemic and no, they aren’t the kind you would find walking the catwalk. Statistical models are being deployed to determine exactly when things ...

Using a robust statistical model, researchers estimate that coronavirus vaccines had prevented 140,000 deaths by May 9, 2021.