The Data and Predictive Analytics Center (DPAC) creates and applies new, cutting-edge techniques to collect, transform, model, and visualize data. Analysis techniques are drawn from mathematics and ...

Data analysis has a rich history that spans centuries, evolving alongside human civilization’s increasing need to understand patterns, make predictions, and optimize decisions. In ancient times, ...

All fields of science are experiencing an explosive growth of data, requiring new techniques to analyze, manage, store and visualize this information in order to ...

This webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational Exchanges of Family Support”. The three-year ...

Censored data analysis is a crucial area in statistics ... Recent research has focused on developing and refining methods to handle censored data effectively, ensuring that valuable information ...

This week starts with an overview of this course, Data Mining Methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a ...

Math is applied to nearly every field and industry, and studying statistics and data analysis prepares students for many opportunities. Our students explore traditional statistical methods as well as ...

analysis of satellite observations and data science techniques more widely. Training in these areas will be complemented by hands-on learning aimed at developing your coding skills in scientific ...

AI analysts are crucial in modern-day organizations because they possess the unique ability to translate complex technical concepts into actionable ...