Research in Stochastic Processes and their Applications
Abstract
Research was conducted and directed in the following areas of stochastic processes and their applications in engineering, neurophysiology, and oceanography: Stochastic differential equations in infinite dimensional spaces; Stochastic differential equation models for spatially distributed neurons; Propagation of chaos for interacting systems; Nonlinear white noise analysis; Sampling designs for time series; Wavelets, Multiresolution decomposition, and Random processes; Non-Gaussian stable models (Structure and inference); Inference for linear and harmonizable time series; Periodically correlated and other nonstationary processes; Sample function properties; Random fields and their prediction; Markov random field models for vision; Point processes, Random sets, and Random measures; Random measures associated with high levels; and Tail inference for stationary sequences.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1993
- Accession Number
- ADA260174
Entities
People
- Gopinath Kallianpur
- M. Ross Leadbetter
- Stamatis Cambanis
Organizations
- University of North Carolina at Chapel Hill