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 ...

id=7022). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

The landscape of malware analysis has significantly evolved, driven by the increasing sophistication of cyber threats and the ...

Pruneau, Claude Gonzalez, Victor Marin, Ana and Basu, Sumit 2024. Multiparticle integral and differential correlation functions. Physical Review C, Vol. 109, Issue. 4, ...

Patrick Ball John Maddox Prize 2024 winner: interviewed on his career, the data analysis methods behind it and the prize.

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, ...

Google's AI Prompt Engineering course learn the basics to advanced strategies, unlock AI's potential for work, data, and ...

We developed scAtlasVAE, a deep-learning-based method to integrate large-scale single-cell RNA sequencing data. Using this tool ... offering a new avenue for gene set analysis.

Discover key skills and techniques needed to excel in data journalism. Learn about data literacy, analysis tools, and ...

Survival analysis modelling approaches are often required to capture the survival functions seen in clinical trial data. These approaches are also used to extrapolate to ... Flexible parametric ...