Convex and coconvex-probabilistic wavelet approximation

Authors

G. A. Anastassiou, University of MemphisFollow
X. M. Yu, University of MemphisFollow

Abstract

Continuous functions are approximated by wavelet operators. These preserve convexity and r-convexity and transform continuous probability distribution functions into probability distribution functions at the same time preserving certain convexity conditions. The degree of this approximation is estimated by establishing some Jackson type inequalities. © 1992, Taylor & Francis Group, LLC. All rights reserved.

Publication Title

Stochastic Analysis and Applications

Recommended Citation

Anastassiou, G., & Yu, X. (1992). Convex and coconvex-probabilistic wavelet approximation. Stochastic Analysis and Applications, 10 (5), 507-521. https://doi.org/10.1080/07362999208809287