Professor Bradley's research focuses on the analysis of time-series data from complex adaptive nonlinear systems. She uses a variety of approaches, ranging from the traditional ones from nonlinear dynamics (delay reconstruction, Lyapunov exponents, etc.) to information theory and topological data analysis.
keywords
Scientific computation, nonlinear dynamics and chaos, nonlinear time-series analysis
Advances in Intelligent Data Analysis XVI.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
2017
Topology and intelligent data analysis.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
111-122.
2003
