Problem Solver
Bernard Ricca
Areas Bernard Ricca is Knowledgeable in:
I am particularly knowledgeable in and interested in the analysis of data from complex systems and in problems that require novel approaches to be developed for data analysis.
Techniques Bernard Ricca Uses:
I employ all of the standard statistical approaches and also those approaches that are specific to nonlinear systems (e.g., recurrence quantification analysis, windowed entropy, catastrophe models, topological data analysis).
Bernard Ricca's Problem Solving Experience:
- I created a process for analyzing heart rate variability (HRV) data.
- I created a novel method for analyzing Q-sort data.