معرفی
Nalini Ravishanker is a Professor in the Department of Statistics at the University of Connecticut (Storrs Campus). Her research focuses on time series analysis, signal processing, and statistical methods with applications in finance, actuarial science, environmental engineering, and transportation engineering. She holds an office in AUST 333 and can be reached at nalini.ravishanker@uconn.edu. Her work emphasizes computational methods for handling complex temporal data patterns across disciplines.
Research interests include:
- Time series modeling and inference
- Times-to-events analysis
- Stable process methodologies
- Signal decomposition techniques
- Applications in actuarial risk assessment
- Marketing analytics
Her recent publications explore financial time series biclustering, frequency-domain clustering techniques, penalized duration modeling in finance, and multi-stage pharmaceutical prescription dynamics. While no awards are listed, her work demonstrates significant contributions to methodological advancements in statistical applications.
