About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Paper
Analysis of linear distributed systems with random parameters and inputs
Abstract
This paper is concerned with the statistical analysis of first-order linear distributed-parameter systems with random parameters and random inputs. In both cases, Gaussian processes are assumed. This work essentially extends the statistical theory available for analyzing random linear lumped-parameter systems to a restricted class of distributed-parameter systems. © 1963.
Related
Conference paper
Efficient Generalization with Distributionally Robust Learning
Workshop paper