Monotone and 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 monotonicity and transform continuous probability distribution functions into probability distribution functions. The degree of this approximation is estimated by establishing some Jackson type inequalities. © 1992, Taylor & Francis Group. All rights reserved.

Publication Title

Stochastic Analysis and Applications

Recommended Citation

Anastassiou, G., & Yu, X. (1992). Monotone and probabilistic wavelet approximation. Stochastic Analysis and Applications, 10 (3), 251-264. https://doi.org/10.1080/07362999208809268